Analysis of the Life Cycle of a Built Environment

Arturas Kaklauskas, PhD
Vilnius Gediminas Technical University, Vilnius, Lithuania

Series: Urban Development and Infrastructure
BISAC: SOC026030

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A thorough description of a built environment’s life cycle (brief; design; raw material extraction, transport and processing; construction materials production and distribution; construction; use, repair and maintenance; demolition and disposal, reuse, or recycling analysis) is difficult to procure. A building and its environment comprise a complex system based on its technical, technological, economical, social, cultural, ecological and other aspects. All sub-systems influence the total efficiency performance. The interdependence between subsystems also plays a significant role.

This monograph’s research objective is the life cycle of a built environment along with its interested parties striving to attain their goals in the micro-, meso- and macro-environments that make an integral whole. Comprehensive research of this required development of new methods for the multiple criteria analysis of a project that would enable a user to assess its quantitative and qualitative aspects thoroughly. The diversity of the factors under assessment corresponds to various ways for presenting data needed for decision making.

Various researches on the life cycle of a built environment and/or its composite parts at micro-, meso- and macro-levels are under global development. Such researches analyze energetic, technical, technological, economic, legal/regulatory, innovative and microclimatic aspects. However, they ignore the social, cultural, ethical, psychological, emotional, religious and ethnic aspects of a built environment’s life cycle. It is notable that not one researcher from different countries analyzed the life cycle of a built environment and its stages in the way the authors of this investigation have considered them. Here, the authors also involve the stakeholders in the life cycle as well as the micro-, meso- and macro-environments that have particular impact on making an integral whole.

This monograph contains detailed revisions of the research along with theoretical and practical tasks for analyzing the life cycle of a built environment and includes presentations of distinctive examples. The concept of a modern life cycle of a built environment as a model is discussed. The theoretical and practical analyses presented in this monograph verify that intelligent decision support systems allow different stakeholders to achieve improved work quality results and productivity. An organized creative team of interested groups can produce a life cycle of a built environment that considers qualitative societal aspects to a greater degree. Realistically, most of a built environment life cycle will have both positive and negative features. The mission is to arrive at an equilibrium of pros and cons to optimize the life cycle of a built environment by a system of qualitative and quantitative criteria. Integration of intelligent decision support systems in the life cycle of a built environment is undoubtedly one step in the right direction. Here, the knowledge relevant to the development of a built environment life cycle appears by its economic, legal, technological, technical, organizational, social, cultural, ethical, psychological, emotional, religious and environmental terms, as well as its managerial implications. References to the most modern sources of scientific literature worldwide are also included.

The readers targeted for this monograph include researchers, MSc and PhD civil engineering students and parties involved in construction management and real estate development. Additionally, the book could be useful for other scholars along with MSc and PhD students of economics, management and other areas of expertise. (Imprint: Nova)

Preface

Introduction

Chapter 1. Life Cycle of a Built Environment and its Analysis

Chapter 2. Building LCA Databases and Tools

Chapter 3. DSSs, IDSSs and their Review

Chapter 4. Applications of DSSs, IDSSs and the IOT for Various Stages of the Life Cycle of a Built Environment and its Assessment

Chapter 5. Web-Based DSSs and IDSSs Developed by this Author with his Colleagues

References

Index

Chapter 1

Ali, H.H., Al Nsairat, S.F., (2009). Developing a green building assessment tool for developing countries – Case of Jordan. Building and Environment, 44(5), 1053-1064.
Alyami, S.H., Rezgui, Y., (2012). Sustainable building assessment tool development approach. Sustainable Cities and Society, 5, 52-62.
Alyami, S.H., Rezgui, Y., Kwan, A., (2013). Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach. Renewable and Sustainable Energy Reviews, 27, 43-54.
Antón, L.Á., Díaz, J., (2014). Integration of Life Cycle Assessment in a BIM Environment. Procedia Engineering, 85, 26-32.
Asdrubali, F., Baldassarri, C., Fthenakis, V., (2013). Life cycle analysis in the construction sector: Guiding the optimization of conventional Italian buildings. Energy and Buildings, 64, 73-89.
Aviza, D., Turskis, Z., Kaklauskas, A., (2015). A multiple criteria decision support system for analyzing the correlation between the thickness of a thermo-insulation layer and its payback period of the external wall. Journal of civil engineering and management, 21(6), 827-835.
Baek, C., Park, S-H., Suzuki, M., Lee, S-H., (2013). Life cycle carbon dioxide assessment tool for buildings in the schematic design phase. Energy and Buildings, 61, 275-287.
Banaitiene, N., Banaitis, A., Kaklauskas, A., Zavadskas, E.K., (2008). Evaluating the life cycle of a building: a multivariant and multiple criteria approach. Omega: international journal of management science, 36(3), 429-441.
Basbagill, J.P., Flager, F.L., Lepech, M., (2014). A multi-objective feedback approach for evaluating sequential conceptual building design decisions. Automation in Construction, 45, 136-150.
Bausys, R., Zavadskas, E.K., Kaklauskas, A., (2015). Application of neutrosophic set to multicriteria decision-making by COPRAS. Economic computation and economic cybernetics studies and research, 49(2), 91-106.
Bayer, C., Gamble, M., Gentry, R., Joshi, S., (2010). A Guide to Life Cycle Assessment of Buildings. The American Institute of Architects.
Berardi, U., (2015). Chapter 15 - Sustainability assessments of buildings, communities, and cities. Assessing and Measuring Environmental Impact and Sustainability, 497-545.
Bluyssen, P.M., (2010). Towards new methods and ways to create healthy and comfortable buildings. Building and Environment, 45 (4), 808-818.
Bragança, L., Mateus, R., Koukkari, H., (2010). Building Sustainability Assessment. Sustainability, 2, 2010-2023.
Brauers, W.K.M., Kildienė, S., Zavadskas, E.K., Kaklauskas, A., (2013). The construction sector in twenty European countries during the recession 2008–2009 – country ranking by MULTIMOORA. International journal of strategic property management, 17(1), 58-78.
Caeiro, S., Ramos, T.B., Huisingh, D., (2012). Procedures and criteria to develop and evaluate household sustainable consumption indicators. Journal of Cleaner Production, 27, 72-91.
Carassus, J. (Ed.), Ruddock, L., Carassus, J., Valense, G., Manseau, A., Andersson, N., Clobes, J., Lopes, J., Kaklauskas, A., Zavadskas, E.K., Wharton, A., (2004). The construction sector system approach: an international framework, CIB report, Publication 293. Rotterdam: International Council for Research and Innovation in Building and Construction. CIB General Secretariat Rotterdam.
Castells, M., (1989). The Informational City; Information Technology, Economic Restructuring, and the Urban-Regional Process. Oxford/Malden, MA: Blackwell.
Cheshire, P., Hay, D.G., (1989). Urban problems in western europe: an economic analysis. London: Unwin Hyman.
Corry, E., Pauwels, P., Hu, S., Keane, M., O'Donnell, J., (2015). A performance assessment ontology for the environmental and energy management of buildings. Automation in Construction, 57, 249-259.
Da Graça, V.A.C., Kowaltowski, D.C.C.K., Petreche, J.R.D., (2007). An evaluation method for school building design at the preliminary phase with optimisation of aspects of environmental comfort for the school system of the State São Paulo in Brazil. Building and Environment, 42(2), 984-999.
Davda, P.C.J., Sex, G., Broomfield, J., (2010). Materials for energy efficiency and thermal comfort in high performance buildings. Materials for Energy Efficiency and Thermal Comfort in Buildings, 589-630.
Dizdaroglu, D., (2015). Developing micro-level urban ecosystem indicators for sustainability assessment. Environmental Impact Assessment Review, 54, 119-124.
Dong, Y.H., Ng, S.T., (2015). A life cycle assessment model for evaluating the environmental impacts of building construction in Hong Kong. Building and Environment, 89, 183-191.
Drysdale, D., Nebel, B., (2009). Life Cycle Assessment of the Waitakere NOW Home®. Report. SM3570/8 for Beacon Pathway Limited. Available from: .
Ekvall, T., Tillman, A-M., Molander, S., (2005). Normative ethics and methodology for life cycle assessment. Journal of Cleaner Production, 13, 1225-1234.
Espinoza, O., Buehlmann, U., Smith, B., (2012). Forest certification and green building standards: overview and use in the U.S. hardwood industry. Journal of Cleaner Production, 33, 30-41.
European Commission - Joint Research Centre - Institute for Environment and Sustainability: International Reference Life Cycle Data System (ILCD), (2010). Handbook - General guide for Life Cycle Assessment - Provisions and Action Steps. First edition March 2010. EUR 24378 EN. Luxembourg. Publications Office of the European Union.
Ferreira, J., Pinheiro, M.D., de Brito, J., (2014). Portuguese sustainable construction assessment tools benchmarked with BREEAM and LEED: An energy analysis. Energy and Buildings, 69, 451-463.
Florida, R., (2002). The Rise of the Creative Class: And HowIt‘s Transforming Work, Leisure, Community and Everyday Life. 1st ed. Perseus Books Group.
Gervásio, H., Santos, P., Martins, R., Simões da Silva, L., (2014). A macro-component approach for the assessment of building sustainability in early stages of design. Building and Environment, 73, 256-270.
Ginevicius, T., Kaklauskas, A., Kazokaitis, P., (2011). Knowledge model for integrated construction project management. Business: Theory and Practice, 12(2), 162-174.
Göçer, Ö., Hua, Y., Göçer, K., (2015). Completing the missing link in building design process: Enhancing post-occupancy evaluation method for effective feedback for building performance. Building and Environment, 89, 14-27.
Gong, Y., Tae, S., Suk, S., Chae, C., Ford, G., Smith, M.E., Steffen, R., (2015). Life Cycle Assessment Applied to Green Building Certification in South Korea. Procedia Engineering, 118, 1309-1313.
Häkkinen, T., Kuittinen, M., Ruuska, A., Jung, N., (2015). Reducing embodied carbon during the design process of buildings. Journal of Building Engineering, 4, 1-13.
Hall, P., (1998). Cities in civilization: culture, innovation, and urban order. London: Weidenfeld & Nicolson.
Hauschild, M., Jeswiet, J., Alting, L., (2005). From Life Cycle Assessment to Sustainable Production: Status and Perspectives, Annals of the CIRP 54/2.
Heerwagen, J., Heerwagen, J.H., (2008). Psychosocial Value of Space. Available on internet: . Accessed 15 Feb 2016.
Huppes, G., Ishikawa, M., (2009). Eco-efficiency guiding micro-level actions towards sustainability: Ten basic steps for analysis. Ecological Economics, 68(6), 1687-1700.
Islam, H., Jollands, M., Setunge, S., Haque, N., Bhuiyan, M. A., (2015). Life cycle assessment and life cycle cost implications for roofing and floor designs in residential buildings. Energy and Buildings, 104, 250-263.
Jacobs, J., (1970). The economy of cities. New York: Vintage Books.
Jacobs, J., (2000). The death and life of great american cities. London: Pimlico.
Jafari, H.A., Yahia, A., Amor, M. B., (2016). Life cycle assessment of pavements: reviewing research challenges and opportunities. Journal of Cleaner Production, 112, 2187-2197.
Jensen, P.A., Maslesa, E., (2015). Value based building renovation – A tool for decision-making and evaluation. Building and Environment, 92, 1-9.
Kaklauskas, A., Amaratunga, D., Haigh, R., (2009a). Knowledge model for post-disaster management. International journal of strategic property management, 13(2), 117-128.
Kaklauskas, A., Cyras, P., Šukys, R., Norkus, A., (2007a). Multicriterion analysis in process of evacuation of population from building. In 9th International conference on modern building materials, structures and techniques, May 16-18, 2007, Vilnius, Lithuania. Vilnius: Technika, Vol. 3, p. 1191-1195.
Kaklauskas, A., Čyras, P., Šukys, R., Norkus, A., (2007b). Multicriterion analysis in process of evacuation of population from building. In Modern building materials, structures and techniques: proceedings of the 9th international conference, May 16-18, 2007, Vilnius, Lithuania [CD] (pp. 1-3). Vilnius: Technika.
Kaklauskas, A., Gulbinas, A., Krutinis, M., Naimaviciene, J., Satkauskas, G., (2007c). Methods for multivariant analysis of optional modules used in teaching process. Technological and economic development of economy, 13(3), 253-258.
Kaklauskas, A., Gulbinas, A., Naimavičienė, J., Kanapeckienė, L., (2006a). Automated models for building’s retrofit. In Proceedings of the international conference “Buildings energy efficiency in the Baltics (BENEFIT-2006),” October 25, 2006, Riga, Latvia (pp. 298-334). Riga: Riga Managers School.
Kaklauskas, A., Holt-Jensen, A., (2009). Ghettos and enclaves as including and excluding neighbourhoods. In Holt-Jensen, E & Pollock, E (Eds), Urban sustainability and governance: new challenges in Nordic-Baltic housing policies (pp. 227-229). New York: Nova Science Publishers.
Kaklauskas, A., Krutinis, M., Gulbinas, A., (2007d). Influence of knowledge and information technologies on the effectiveness of construction export. In 7th International conference on reliability and statistics in transportation and communication (RelStat 07), October 24-27, 2007, Riga, Latvia (pp. 264-269). Transport & Telecommunication Institute.
Kaklauskas, A., Lepkova, N., (2001). Facilities management object and multiple criteria analysis. In Modern building materials, structures and techniques: proceedings of the 7th international conference, May 16-18, 2001, Vilnius, Lithuania [CD]. Vilnius: Technika.
Kaklauskas, A., Lepkova, N., Rimkuvienė, S., (2009b). The development of model of sustainable distance learning management in Lithuania. In Proceedings of the IADIS international conference on cognition and exploratory learning digital age (CELDA 2009), Nowember 20-22, 2009, Roma, Italy, International Association for Development of the Information Society (pp. 480-481). Roma: IADIS Press.
Kaklauskas, A., Naimaviciene, J., Tupenaite, L., Kanapeckiene, L., (2007e). Knowledge base model for sustainable housing renovation. In 9th International conference on modern building materials, structures and techniques, May 16-18, 2007, Vilnius, Lithuania. Vilnius: Technika, Vol. 1-3, p. 276-281.
Kaklauskas, A., Naimaviciene, J., Tupenaite, L., Kanapeckiene, L., (2007f). Knowledge base model for sustainable housing renovation. In Modern building materials, structures and techniques: proceedings of the 9th international conference, May 16-18, 2007, Vilnius, Lithuania [CD] (p. 1-7). Vilnius: Technika.
Kaklauskas, A., Pruskus, V., (2005). The uses of internet in the ethical multiple criteria decision-making. Problemos, 68, 109-127.
Kaklauskas, A., Raslanas, S., Mickaitytė, A., (2005a). The refurbishment of multistorey apartment building and increment of market value. In EU FR6 ecobuildings symposium (pp. 129-148). Berlin.
Kaklauskas, A., Rutė, J., Gudauskas, R., Banaitis, A., (2011). Integrated model and system for passive houses multiple criteria analysis. International Journal of Strategic Property Management, 15(1), 74-90.
Kaklauskas, A., Torgal, F.P., Grafakos, S., Lapinskiene, V., (2013b). Built Environment Life Cycle Process and Climate Change. In Torgal, FP, Mistretta, M, Kaklauskas, A, Granqvist, CG & Cabeza LF (Eds), Nearly Zero Energy Building Refurbishment: A Multidisciplinary Approach (pp. 61-98). London: Springer-Verlag.
Kaklauskas, A., Tupenaite, L., Kanapeckiene, L., Naimaviciene, J., (2013a). Knowledge-Based Model for Standard Housing Renovation. Procedia Engineering, 57, 497-503.
Kaklauskas, A., Vlasenko, A., Krutinis, M., Kaklauskas, G., (2007g). Integration of intelligent, voice stress analysis, and iris recognition technologies in construction and real estate. In 7th International conference on reliability and statistics in transportation and communication (RelStat 07), October 24-27, 2007, Riga, Latvia (pp. 238-245). Transport & Telecommunication Institute.
Kaklauskas, A., Zavadskas, E.K. (Eds), (2015a). Multiple Criteria Analysis of the Life Cycle of a built Environment: monograph. Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., (2002a). E-work in construction, real estate and facilities management. In TELEBALT conference “Teleworking for business, education, research and e-commerce”: presentations and abstracts, Vilnius, 21-22 October 2002 (pp. 220-226). Vilnius.
Kaklauskas, A., Zavadskas, E.K., (2002b). Multiple criteria analysis of facilities management. In Applying and extending the global knowledge base: proceedings of the CIB working commission 070. Facilities management and maintenance. Global symposium 2002: CIB proceedings: Publication 277 (pp. 195-205). Glasgow.
Kaklauskas, A., Zavadskas, E.K., (2002c). Some recommendations for the development of the Lithuanian construction sector. In Construction sector system: a new framework for the 21st century. A comparative international study / J. Carassus (Ed.) (pp. 115-133) SPON.
Kaklauskas, A., Zavadskas, E.K., (2004). Some recommendations for the development of the Lithuanian construction sector. In The construction sector system approach: an international framework: report by CIB W055-W065 “Construction industry comparative analysis” project group. CIB Publication no 293 (pp. 114-134). Rotterdam: CIB.
Kaklauskas, A., Zavadskas, E.K., Bagdonavičius, A., Kelpšienė, L., Bardauskienė, D., Kutut, V., (2010a). Conceptual modelling of construction and real estate crisis with emphasis on comparative qualitative aspects description. Transformations in business & economics, 9(1), 42-61.
Kaklauskas, A., Zavadskas, E.K., Banaitis, A., (2000). Analysis, modelling and forecasting of housing credit access in Lithuania. In Workshop on housing finance: background paper, 30 January - 1 February 2000, Timisaora, Romania, p. 1-12.
Kaklauskas, A., Zavadskas, E.K., Banaitis, A., Banaitiene, N., Kanapeckiene, L., (2012b). Knowledge Management in Construction Project Management. Advances in Engineering Research, 3, 1-90.
Kaklauskas, A., Zavadskas, E.K., Banaitis, A., Šatkauskas, G., (2007h). Defining the utility and market value of a real estate: a multiple criteria. International journal of strategic property management, 11(2), 107-120.
Kaklauskas, A., Zavadskas, E.K., Bardauskienė, D., Dargis, R. (Eds), (2012a). Darnus nekilnojamojo turto vystymas: vadovėlis. Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., Bardauskienė, D., Dargis, R. (Eds), (2014). Гармоничное развитие недвижимого имущества: monograph. Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., Dargis, R., Bardauskienė, D. (Eds), (2015b). Sustainable Development of Real Estate: monograph. Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., Lapinskiene, V., Sliogeriene, J., Gudauskas, R., Raistenskis, J., Cerkauskiene, R., Jackute, I., Kumzaite, S., (2013c). Multiple-Criteria Analysis of Life Cycle of Energy-Efficient Built Environment. In Torgal, FP, Mistretta, M, Kaklauskas, A, Granqvist, CG & Cabeza LF (Eds), Nearly Zero Energy Building Refurbishment: A Multidisciplinary Approach (pp. 299-325). London: Springer-Verlag.
Kaklauskas, A., Zavadskas, E.K., Naimaviciene, J., Krutinis, M., Plakys, V., Venskus, D., (2010b). Model for a complex analysis of intelligent built environment. Automation in construction, 19(3), 326-340.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., (2005b). Multivariant design and multiple criteria analysis of building refurbishments. Energy and buildings, 37(4), 361-372.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., Malinauskas, P., (2006b). Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: a Lithuanian case. Energy and buildings, 38(5), 454-462.
Kaklauskas, A., Zavadskas, E.K., Šaparauskas, J., (2009c). Conceptual modelling of sustainable Vilnius development. Technological and economic development of economy, 15(1), 154-177.
Kaklauskas, A., Zavadskas, E.K., Trinkūnas, V., (2008). Model for an integrated analysis of distance learning quality: the case of Lithuania. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 849-853). Vilnius: Technika.
Kapliński, O., Zavadskas, E.K., Peldschus, F., Kaklauskas, A. (2004). Problems and evolving trends of construction colloquia on decision-making and operational research. Foundations of civil and environmental engineering, 5, 83-90.
Karatas, A., El-Rayes, K., (2015). Optimizing tradeoffs among housing sustainability objectives. Automation in Construction, 53, 83-94.
Keles, R., (2012). The Quality of Life and the Environment. Procedia - Social and Behavioral Sciences, 35, 23-32.
Kildiene, S., Kaklauskas, A., Zavadskas, E.K., (2011). COPRAS based comparative analysis of the European country management capabilities within the construction sector in the time of crisis. Journal of business economics and management, 12(2), 417-434.
Kim, J.T., Todorovic, M.S., (2013). Towards sustainability index for healthy buildings—Via intrinsic thermodynamics, green accounting and harmony. Energy and Buildings, 62, 627-637.
Kubota, H., Hondo, H., Hienuki, S., Kaieda, H., (2013). Determining barriers to developing geothermal power generation in Japan: Societal acceptance by stakeholders involved in hot springs. Energy Policy, 61, 1079-1087.
Lee, K., Tae, S., Shin, S., (2009). Development of a Life Cycle Assessment Program for building (SUSB-LCA) in South Korea. Renewable and Sustainable Energy Reviews, 13(8), 1994-2002.
Lee, S., Kim, S., Na, Y., (2015). Comparative analysis of energy related performance and construction cost of the external walls in high-rise residential buildings. Energy and Buildings, 99, 67-74.
Lee, W.L., (2012). Benchmarking energy use of building environmental assessment schemes. Energy and Buildings, 45, 326-334.
Lee, W.L., (2013). A comprehensive review of metrics of building environmental assessment schemes. Energy and Buildings, 62, 403-413.
Lepkova, N., Kaklauskas, A., Zavadskas, E.K., (2008). Modelling of facilities management alternatives. International journal of environment and pollution, 35(2/3/4), 185-204.
Lepkova, N., Mickaityte, A., Standl, H., Krupickaite, D., Kaklauskas, A., (2009). Housing trends in Lithuania. In Holt-Jensen, E & Pollock, E (Eds), Urban sustainability and governance: new challenges in Nordic-Baltic housing policies (pp. 209-225). New York: Nova Science Publishers.
Lepkova, N., Zavadskas, E.K., Kaklauskas, A., (2003). Modelling of facilities management process. In International conference on modelling and simulation of business systems, May 13-14, 2003, Vilnius, Lithuania (pp. 132-136). Kaunas: Technologija.
Li, D.Z., Chen, H.X., Hui, E.C.M., Zhang, J.B., Li, Q.M., (2013). A methodology for estimating the life-cycle carbon efficiency of a residential building. Building and Environment, 59, 448-455.
Lotteau, M., Loubet, P., Pousse, M., Dufrasnes, E., Sonnemann, G., (2015). Critical review of life cycle assessment (LCA) for a built environment at the neighborhood scale. Building and Environment, 93, Part 2, 165-178.
Maliene, V, Kaklauskas, A., Zavadskas, E.K., (2002). Application of a new multiple analysis method in the valuation of property. In XXII FIG international congress. ACSM - ASRS conference and technology exibition 2002, April 19-26, 2002, [CD] (pp. 1-14). Washington, USA.
Masotti, C., Ferrante, A., Boiardi, L., Fabbri, C., (2011). Self-help Retrofitting Technologies for Low-cost Housing Construction. The Case Study of Vila Novo Ouro Preto, Brasil. Procedia Engineering, 21, 625-632.
Masure, Ph., (2003). Variables and indicators of vulnerability and disaster risk for land-use and urban or territorial planning. Information and indicators program for disaster risk management. Inter-American Development Bank. Manizales – Colombia.
Matuliauskaitė, A., Vetaitė, V., Kaklauskas, A., (2008). Assessment of air pollution PM10 in the city of Vilnius and its influence on life quality. In 25th International symposium on automation and robotics in construction, June 26-29, 2008 Vilnius, Lithuania (pp. 782-788). Vilnius: Technika.
McAvoy, M., Cohen, N., (2002). Time to give space to regeneration. Financial Times, September 13.
Menassa, C.C., Baer, B., (2014). A framework to assess the role of stakeholders in sustainable building retrofit decisions. Sustainable Cities and Society, 10, 207-221.
Mickaitytė, A., Zavadskas, E.K., Kaklauskas, A., (2007). The knowledge presentation according to the needs of the participants in the public refurbishment sector. Technological and economic development of economy, 13(1), 47-55.
Mickaitytė, A., Zavadskas, E.K., Kaklauskas, A., Tupėnaitė, L., (2008). The concept model of sustainable buildings refurbishment. International journal of strategic property management, 12(1), 53-68.
Motawa, I., Carter, K., (2013). Sustainable BIM-based Evaluation of Buildings. Procedia - Social and Behavioral Sciences, 74, 419-428.
Norman, R., (1998). The moral philosophers - an introduction to ethics. New York: Oxford University Press.
O’Connor, J., Bowick, M., (2014). Advancing sustainable design with life cycle assessment. Athena Sustainable Materials Institute. SAB Magazine.
O’Malley, C., Piroozfar, P.A.E., Farr, E.R.P., Gates, J., (2014). Evaluating the Efficacy of BREEAM Code for Sustainable Homes (CSH): A Cross-sectional Study. Energy Procedia, 62, 210-219.
Park, M., Tae, S., Suk, S., Ford, G., Smith, M.E., Steffen, R., (2015). A Study on the Sustainable Building Technologies Considering to Performance of Greenhouse Gas Emission Reduction. Procedia Engineering, 118, 1305-1308.
Perera, O., (2010). Life Cycle Costing A Question of Value. Available on internet: < http://ec.europa.eu/environment/gpp/pdf/WP-Life cycleCosting.qx.pdf>. Accessed 17 Feb 2016.
Pérez, M.G.R., Rey, E., (2013). A multi-criteria approach to compare urban renewal scenarios for an existing neighborhood. Case study in Lausanne (Switzerland). Building and Environment, 65, 58-70.
Petrakos, G., Economou, D., (2000). Internationalism and structural changes in European system of urban centers, in H. Adricopoulou, G. Kafkalas (Eds.). The New European Space. Atsens.
Proietti, S., Sdringola, P., Desideri, U., Zepparelli, F., Masciarelli, F., Castellani, F., (2013). Life Cycle Assessment of a passive house in a seismic temperate zone. Energy and Buildings, 64, 463-472.
Raipa, A., (2007). Naujoji viešoji vadyba. Kaunas: Technologija.
Raslanas, S., Stasiukynas, A., Jurgelaitytė, E., (2013). Sustainability Assessment Studies of Recreational Buildings. Procedia Engineering, 57, 929-937.
Raslanas, S., Zavadskas, E.K., Kaklauskas, A., (2010a). Land value tax in the context of sustainable urban development and assesment. Part i-policy analysis and conceptual model for the taxation system on real property. International journal of strategic property management, 14(1), 73-86.
Raslanas, S., Zavadskas, E.K., Kaklauskas, A., Zabulenas, A.R., (2010b). Land value tax in the context of sustainable urban development and assesment. Part ii - analysis of land valuation techniques: the case of Vilnius. International journal of strategic property management, 14(2), 173-190.
Renigier-Biłozora, M., Wisniewskia, R., Kaklauskas, A., Biłozorc, A., (2014). Rating methodology for real estate markets – Poland case study. International Journal of Strategic Property Management, 18(2), 198-212.
Reza, B., Sadiq, R., Hewage, K., (2014). Emergy-based life cycle assessment (Em-LCA) of multi-unit and single-family residential buildings in Canada. International Journal of Sustainable Built Environment, 3(2), 207-224.
Rønning, A., Brekke, A., (2014). Life cycle assessment (LCA) of the building sector: strengths and weaknesses. Eco-Efficient Construction and Building Materials, 63-83.
Russell-Smith, S.V., Lepech, M.D., (2015). Cradle-to-gate sustainable target value design: integrating life cycle assessment and construction management for buildings. Journal of Cleaner Production, 100, 107-115.
Saez, P.V., del Río Merino, M., González, A.S-A., Porras-Amores, C., (2013). Best practice measures assessment for construction and demolition waste management in building constructions. Resources, Conservation and Recycling, 75, 52-62.
Sahamir, S.R., Zakaria, R., (2014). Green Assessment Criteria for Public Hospital Building Development in Malaysia. Procedia Environmental Sciences, 20, 106-115.
Seinre, E., Kurnitski, J., Voll, H., (2014a). Building sustainability objective assessment in Estonian context and a comparative evaluation with LEED and BREEAM. Building and Environment, 82, 110-120.
Seinre, E., Kurnitski, J., Voll, H., (2014b). Quantification of environmental and economic impacts for main categories of building labeling schemes. Energy and Buildings, 70, 145-158.
Shao, Y., Geyer, P., Lang, W., (2014). Integrating requirement analysis and multi-objective optimization for office building energy retrofit strategies. Energy and Buildings, 82, 356-368.
Sinkienė, J., (2008). Miesto konkurencingumo veiksniai. Viešoji politika ir administravimas, 25, 67–82.
Sliogeriene, J., Kaklauskas, A., Kliukas, R., Turskis, Z., Lepkova, N., Komka, A., (2013). Decision support system for the assessment and ranking of energy generation technologies. In Advances in Intelligent Systems Research, International Conference on Advanced Information and Communication Technology for Education (ICAICTE 2013), Hainan, China, 20-22 September 2013 (pp. 727-732). Beijing: Atlantis Press.
Šliogerienė, J., Kaklauskas, A., Zavadskas, E.K., Bivainis, J., Seniut, M., (2009). Environment factors of energy companies and their effect on value: analysis model and applied method. Technological and economic development of economy, 15(3), 490-521.
Sloan, B., Zavadskas, E.K., Kaklauskas, A., (1999). Modelling and forecasting of construction in Lithuania. In Macroeconomic issues, models and methodologies for the construction sector: proceedings of the international workshop, September 9, 1999, University of Cape Town, Rotterdam, the Netherlands/Les Ruddock (Ed.). Rotterdam: Conseil International du Batiment, CIB publication number 240 (pp. 81-91).
Srinivasan, R.S., Ingwersen, W., Trucco, C., Ries, R., Campbell, D., (2014). Comparison of energy-based indicators used in life cycle assessment tools for buildings. Building and Environment, 79, 138-151.
Stankovic, B., Kostic, A., Jovanovic Popovic, M., (2014). Analysis and comparison of lighting design criteria in green building certification systems —Guidelines for application in Serbian building practice. Energy for Sustainable Development, 19, 56-65.
Storper, M., (1997). The regional world; territorial development in a global economy. New York/London: The Guilford Press.
Storper, M., Scott, A.J., (2003). Regions, globalization, development. Regional Studies, 37(6-7), 579–593.
Tarantini, M., Loprieno, A.D., Porta, P.L., (2011). A life cycle approach to Green Public Procurement of building materials and elements: A case study on windows. Energy, 36(5), 2473-2482.
Thabrew, L., Wiek, A., Ries, R., (2009). Environmental decision-making in multi-stakeholder contexts: applicability of life cycle thinking in development planning and implementation. Journal of Cleaner Production, 17(1), 67-76.
Thayaparan, M., Siriwardena, M., Malalgoda, Ch.I., Amaratunga, D., Lill, I., Kaklauskas, A. (2015). Enhancing post-disaster reconstruction capacity through lifelong learning in higher education. Disaster prevention and management, 24(3), 338-354.
Thomas, A., Menassa, C.C., Kamat, V.R., (2015). A Framework to Understand Effect of Building Systems Deterioration on Life Cycle Energy. Procedia Engineering, 118, 507-514.
Todorović, M.S., (2012). BPS, energy efficiency and renewable energy sources for buildings greening and zero energy cities planning: Harmony and ethics of sustainability. Energy and Buildings, 48, 180-189.
Todorovic, M.S., Kim, J.T., (2012). Buildings energy sustainability and health research via interdisciplinarity and harmony. Energy and Buildings, 47, 12-18.
Torgal, F.P., Mistretta, M., Kaklauskas, A., Granqvist, C.G., Cabeza, L.F. (Eds), (2013). Nearly Zero Energy Building Refurbishment: A Multidisciplinary Approach. London: Springer-Verlag.
Trachte, S., Salvesen, F., (2014). Sustainable Renovation of Non Residential Buildings, a Response to Lowering the Environmental Impact of the Building Sector in Europe. Energy Procedia, 48, 1512-1518.
Trinkunas, V., Kaklauskas, A., Zavadskas, E.K., (2002). Selection of rational construction products regarding building refurbishments. Property management, 6(2), 74-82.
Trusty, W., (2009). Incorporating LCA in Green Building Rating Systems. Air & Waste Management Association.
Trusty, W., (2010a). An Overview of Life Cycle Assessments: Part One of Three. Athena Sustainable Materials Institute.
Trusty, W., (2010b). Misconceptions and Misunderstanding about LCA. Part Two of a Three Part Series. Athena Sustainable Materials Institute.
Tupenaitė, L., Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Seniut, M., (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of civil engineering and management, 16(2), 257-266.
Tyl, B., Vallet, F., Bocken, N.M.P., Real, M., (2015). The integration of a stakeholder perspective into the front end of eco-innovation: a practical approach. Journal of Cleaner Production, 108, Part A, 543-557.
Urbanavičienė, V., Kaklauskas, A., Zavadskas, E.K., (2009). The conceptual model of construction and real estate negotiation. International journal of strategic property management, 13(1), 53-70.
Vainiūnas, P., Kaklauskas, A., Trinkunas, V., (2008). Assessment methodology of institutions evaluating competency. In 6th AECEF Symposium on civil engineering education in changing Europe, May 28-30, 2008, Vilnius, Lithuania (pp. 179-188). Vilnius: Technika.
Van Meel, J., (2000). The European office: Office design and national context. Publishers.
Vatalis, K.I., Manoliadis, O., Charalampides, G., Platias, S., Savvidis, S., (2013). Sustainability Components Affecting Decisions for Green Building Projects. Procedia Economics and Finance, 5, 747-756.
Vučićević, B., Jovanović, M., Afgan, N., Turanjanin, V., (2014). Assessing the sustainability of the energy use of residential buildings in Belgrade through multi-criteria analysis. Energy and Buildings, 69, 51-61.
Webster, D., Muller, L., (2000). Urban competitiveness assessment in developing country urban regions: the road forward. Paper prepared for Urban Group, INFUD, The World Bank, Washington, July 17.
Williams, A.S., (2009). Life Cycle Analysis: A Step by Step Approach. ISTC Reports Illinois Sustainable Technology Center, p. 27.
Wong, S., Abe, N., (2014). Stakeholders' perspectives of a building environmental assessment method: The case of CASBEE. Building and Environment, 82, 502-516.
Yang, P., He, G., Mao, G., Liu, Y., Xu, M., Guo, H., Liu, X., (2013). Sustainability needs and practices assessment in the building industry of China. Energy Policy, 57, 212-220.
Yu, L., Wang, H, Chen, S., Feng, G., (2015). Research on the Establishment of Green Diagnostic System for Air Conditioning System in Public Buildings. Procedia Engineering, 121, 1435-1442.
Zambrana-Vasquez, D., Aranda-Usón, A., Zabalza-Bribián, I., Jañez, A., Llera-Sastresa, E., Hernandez, P., Arrizabalaga, E., (2015). Environmental assessment of domestic solar hot water systems: a case study in residential and hotel buildings. Journal of Cleaner Production 88, 29-42.
Zavadskas, E.K, Kaklauskas, A., (1996a). Analysis of life-time process of a building. Statyba,

2(6), 33-43.
Zavadskas, E.K., Andruškevičius, A., Kaklauskas, A., Schreiber, K., (1989). System zur Bewertung und Auswahl ressourcensparender Projektlösungen bei der Rekonstruktion von Gebäuden. Wissenschaftliche Zeitschrift der Hochschule für Architektur und Bauwesen Weimar, 35(3), 165-167.
Zavadskas, E.K., Barrett, P., Bejder, E., Kaklauskas, A., Liias, R., Olsen, W., Sutt, J., (1996). Achieving quality management in construction 9 research results. ACE Quarterly. PHARE: the journal of the ACE programme - Action for co-operation in the field of economics, 5, 15-16.
Zavadskas, E.K., Bejder, E., Kaklauskas, A., (1998a). Raising the efficiency of building lifetime with special emphasis on maintenance. In Facilities management in Central and Eastern Europe and commonwealth of independent states: proceedings of the international conference, May 14-15, 1998, Vilnius, Lithuania (pp. 28-37). Vilnius: Technika.
Zavadskas, E.K., Bejder, E., Kaklauskas, A., (1998b). Raising the efficiency of the building lifetime with special emphasis on maintenance. Property management and facilities: global forum. England, MCB University Press, 16(11), 334-340.
Zavadskas, E.K., Ginevičius, R., Kaklauskas, A., (1994a). On applying

expert estimate approach in organization theory/Market economy and management. Technological and economic development of economy, 2, 15-18.
Zavadskas, E.K., Ginevičius, R., Kaklauskas, A., (2001a). Property management postgraduate internet studies in Vilnius Gediminas Technical University. In Проблемы оценки в переходной экономике: международная конференция, 4-5 апреля 2001 г., Минск, Республика Беларусь [CD] (pp. 1-6). Минск.
Zavadskas, E.K., Ginevičius, R., Kaklauskas, A., Banaitis, A., (2005a). Analysis and modeling of the Lithuanian real estate sector. Journal of business economics and management, 6(3), 135-144.
Zavadskas, E.K., Jonaitis, V., Kaklauskas, A., Banaitis, A., (2000a). Total life analysis, modeling and forecasting of housing industry in Lithuania. In Housing and environment: regional workshop, November 22-23, 1999, Vienna (pp. 360-372). Vienna.
Zavadskas, E.K., Kaklauskas, A., (1993). Multivariant automatic design and multiple criteria decision - making methods help to achieve higher productivity and create better working conditions in industry. Statybos technologija ir menedžmentas, 7, 31-37.
Zavadskas, E.K., Kaklauskas, A., (1994a). Determining the most profitable investment projects. Zeszyty naukowe Politechniki Poznanskiej, Budownictwo Lądowe, 38, 39-45.
Zavadskas, E.K., Kaklauskas, A., (1994b). Multiple criteria analysis and determination of the utility degree of the contracts and contractors. Zeszyty naukowe Politechniki Poznanskiej, Budownictwo Lądowe, 38, 7-14.
Zavadskas, E.K., Kaklauskas, A., (1996b). Determination of an efficient contractor by using the new method of multicriteria assessment. In International symposium for “The organisation and management of construction.” Shaping theory and practice. Vol 2. Managing the construction project and managing risk/D. A. Langford, A. Retik (Eds.). CIB W 65, E and FN SPON. London, Weinheim, New York, Tokyo, Melbourne, Madras (pp. 94-104).
Zavadskas, E.K., Kaklauskas, A., (1996c). Pastatų sistemotechninis įvertinimas. Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., (1996d). The new method of multicriteria evaluation of projects. In Deutsch-Litauisch-Polnisches Kolloquium zum Baubetriebswesen. HTWK: Beiträge Zu Lehre und Forschung, J. 3, p. 3-13.
Zavadskas, E.K., Kaklauskas, A., (1998). Increase of students practical skills by using multicriteria decision-making. In The reform and development of Vilnius Gediminas Technical University (pp. 183-193). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., (1999). A new method of complex evaluation of projects based on multiple criteria analysis and the principle of proportionality. In 5th Internationale conference “Integrating technology and human decisions: global bridges into the 21st century”: proceedings, July 4-7, 1999/Decision Science Institute, Athens, Greece; D. K. Despotis, C. Zoporinidis (Eds.) (pp. 1297-1299). Athens.
Zavadskas, E.K., Kaklauskas, A., (2003). Systems approach in construction-scientific school of A. A. Gusakov (social-communicative survey). Journal of civil engineering and management, 9(4), 253-259.
Zavadskas, E.K., Kaklauskas, A., (2005). Working out a rational model of Lithuanian construction industry development. Journal of business economics and management, 6(2), 71-80.
Zavadskas, E.K., Kaklauskas, A., (2007a). Development and integration of intelligent, voice stress analysis and IRIS recognition technologies in construction. In 24th International symposium on automation & robotics in construction (ISARC 2007). September 19-21, 2007, Kochi, Kerala, India (pp. 467-472). Kerakla.
Zavadskas, E.K., Kaklauskas, A., (2007b). Mehrzielselektion für Entscheidungen im Bauwesen. Stuttgart: Fraunhofer IRB Verlag.
Zavadskas, E.K., Kaklauskas, A., (2008a). Advanced information and communication technologies in construction. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 39-45). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., (2008b). Editorial. Special issue on external and internal housing environments: technological and facilities approach. International journal of environment and pollution, 35(2/3/4), 153-157.
Zavadskas, E.K., Kaklauskas, A., (2008c). Model for Lithuanian construction industry development. Transformations in business & economics, 7(1), 152-168.
Zavadskas, E.K., Kaklauskas, A., Andruškevičius, A., Vainiūnas, P., Banaitienė, N., (2005b). Model for an integrated analysis of a building’s life cycle. Lecture notes in computer science, 3675, 218-226.
Zavadskas, E.K., Kaklauskas, A., Banaitienė, N., (2001b). Pastato gyvavimo proceso daugiakriterinė analizė. Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., (1999a). Analysis, modelling and forecasting of housing credit access. Real estate valuation and investment, 3(2), 101-118.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., (1999b). Modelling and forecasting of construction industry in Lithuania. In 5th Internationale conference “Integrating technology and human decisions: global bridges into the 21st century”: proceedings, July 4-7, 1999/Decision Science Institute, Athens, Greece; D. K. Despotis, C. Zoporinidis (Eds.). Vol. 2. Athens, p. 2051-2053.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., (2000b). Total life analysis, modeling and forecasting of housing in Lithuania. In Podium: Sonderheft, Deutsch-Litauisch-Polnisches Kolloquium zum Baubetriebswesen, Jg. 7, no 2, p. 3-12.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., Jonaitis, V., (1998c). Creation of rational enterpreneurship conditions in construction industry of Lithuania. Statyba, 4(1), 78-85.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., Kvederyte, N., (2004a). Housing credit access model: the case for Lithuania. European journal of operational research, 155(2), 335-352.
Zavadskas, E.K., Kaklauskas, A., Bejder, E., (1992). Multiple criteria analysis of projects. Aalborg: Aalborg Universitetscenter.
Zavadskas, E.K., Kaklauskas, A., Kaklauskienė, J., (2004b). Model for sustainable housing development with special emphasis to health. In Proceedings of the 2nd WHO international housing and health symposium, September 30 - October 1, 2004, Vilnius, Lithuania (pp. 487-493). Vilnius.
Zavadskas, E.K., Kaklauskas, A., Kaklauskienė, J., (2007a). Modelling and forecasting of a rational and sustainable development of Vilnius: emphasis on pollution. International journal of environment and pollution, 30(3-4), 485-500.
Zavadskas, E.K., Kaklauskas, A., Kvederytė, N., (2000c). A method of multiple criteria multivariant designs of a building life cycle. Podium: Sonderheft, Deutsch-Litauisch-Polnisches Kolloquium zum Baubetriebswesen, Jg. 7, no 2, p. 13-18.
Zavadskas, E.K., Kaklauskas, A., Kvederytė, N., (2001c). Multivariant design and multiple criteria analysis of a building life cycle. Informatica, 12(1), 169-187.
Zavadskas, E.K., Kaklauskas, A., Lepkova, N., (2002a). Multiple criteria analysis of facilities management alternatives. Property management, 6(1), 31-39.
Zavadskas, E.K., Kaklauskas, A., Maciunas, E., Vainiunas, P., Marsalka, A., (2007b). Real estate’s market value and a pollution and health effect analysis. In 4th International conference on cooperative design, visualization, and engineering, September 16-20, 2007, Shanghai, Peoples R. China (pp. 191-200). SpringerVerlag Berlin.
Zavadskas, E.K., Kaklauskas, A., Malienė, V., (1997). Real estate price evaluation by means of multicriteria project assessment methods. In Property valuation and investment in Central and Eastern Europe during the transition to free market economy: proceedings of the international conference, February 6-7, 1997, Vilnius, Lithuania (pp. 156-170). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Peldschus, F., Turskis, Z., (2007c). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic journal of road and bridge engineering, 2(4), 195-203.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2001d). Total life analysis, modelling and forecasting of real estate sector in Lithuania. In Проблемы оценки в переходной экономике: международная конференция, 4-5 апреля 2001 г., Минск, Республика Беларусь [CD] (pp. 1-10). Минск.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2002b). Total life analysis, modelling and forecasting of real estate sector in Lithuania. Недвижимость: экономика, управление: международный научно-технический журнал = Real estate economics and management: international scientitic and engineering magazine, 3-4, 76-79.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2004c). Evaluation of investments into housing renovation. International journal of strategic property management, 8(3), 177-190.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2004d). Market value criterion to evaluate the refurbishment of multistorey apartment buildings. In Modern building materials, structures and techniques: proceedings of the 8th international conference, May 19-22, 2004, Vilnius, Lithuania [CD] (pp. 1-12). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2004e). Market value criterion to evaluate the refurbishment of multistorey apartment buildings. In 8th International conference on modern building materials, structures and techniques, May 19-21, 2004, Vilnius, Lithuania (pp. 309-320). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2004f). Renovation of multistorey apartment buildings from the aspect of real estate market value. In 6th International conference on energy for buildings, October 07-08, 2004, Vilnius, Lithuania (pp. 375-382). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2005c). Land taxation and sustainable urban development/in: 33e Symposium international FESF Strasbourg: recent developments in environmental protection. Vol. 40, Social strategies (pp. 129-146). Bern: Peter Lang.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2009a). Modelling of real estate sector: the case for Lithuania. Transformations in business & economics, 8(1), 101-120.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., Banaitis, A., (2000d). Multiple criteria analysis, modelling and forecasting of real estate sector in Lithuania. In Multicriteria aids for decisions: 52nd meeting of the European working group, October 5-6, 2000, Vilnius, Lithuania (pp. 12-13). Vilnius.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., Malienė, V., (2001e). Die Anwendung der mehrkriteriellen Methode bei der Bewertung von Erholungsgrundstucken. Statyba, 7(4), 327-333.
Zavadskas, E.K., Kaklauskas, A., Rupprecht, L., (1988). Die Auswahl von Fundamenten für Dreigelenkrahmen einschiffiger Landwirtschaftsbauten nach mehreren Zielkriterien. Wissenschaftliche Zeitschrift der Hochschule für Architektur und Bauwesen Weimar, 34(3), 179-181.
Zavadskas, E.K., Kaklauskas, A., Šaparauskas, J., Kalibatas, D., (2007d). Evaluation of Vilnius urban sustainability with special emphasis on pollution. Ekologija, 53, 64-72.
Zavadskas, E.K., Kaklauskas, A., Šarka, V., (1994b). The new method of multicriteria complex proportional assessment of projects. Technological and economic development of economy, 3, 131-139.
Zavadskas, E.K., Kaklauskas, A., Tupenaite, L., Mickaityte, A., (2008a). Decision-making model for sustainable buildings refurbishment. Energy efficiency aspect. In 7th International conference on environmental engineering, May 22-23, 2008, Vilnius, Lithuania. Vilnius: Technika, Vol. 1-3, p. 894-901.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Kalibatas, D., (2008b). Multi-attribute assessment of dwelling houses renovation. In 7th International conference on environmental engineering, May 22-23, 2008, Vilnius, Lithuania. Vilnius: Technika, Vol.1-3, p. 902-906.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Kalibatas, D., (2009b). An approach to multi-attribute assessment of indoor environment before and after refurbishment of dwelling. Journal of environmental engineering and landscape management, 17(1), 5-11.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamošaitienė, J. (2008c). Selection of the effective dwelling house walls by applying attributes values determined at intervals. Journal of civil engineering and management, 14(2), 85-93.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamošaitienė, J., (2008d). Contractor selection multi-attribute model applynig COPRAS method with grey interval numbers. In selected papers of EURO mini conference “Continuous optimization and knowledge-based technologies” (EurOPT’2008), May 20-23, 2008, Neringa, Lithuania (pp. 241-247). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamošaitienė, J., (2009c). Multi-attribute decision-making model by applying grey numbers. Informatika, 20(2), 305-320.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamošaitienė, J., Kalibatas, D., (2008e). Assessment of indoor environment applynig COPRAS method with attributes determined in intervals. In 7th International conference on environmental engineering, May 22-23, 2008, Vilnius, Lithuania. Vilnius: Technika, Vol. 1-3, p. 907-912.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamošaitienė, J., Kalibatas, D., (2011). Assessment of the indoor environment of dwelling houses by applying the COPRAS-G method: Lithuania case study. Environmental Engineering and Management Journal, 10(5), 637-647.
Zavadskas, E.K., Kaklauskas, A., Vainiunas, P., Gikys, M., (2000e). Property management in postgraduate internet studies in Vilnius Gediminas Technical University. In 4th Baltic region seminar on engineering education, September 1-3, 2000, Copenhagen, Denmark (pp. 83-86). UICEE, Monash University.
Zavadskas, E.K., Kaklauskas, A., Vainiūnas, P., Šaparauskas, J., (2003). Modelling and forecasting of sustainable urban development. In SIID-2003: international conference on sustainability indicators and intelligent decisions: abstracts of papers, October 9-11, 2003, Vilnius, Lithuania (pp. 54-55). Vilnius.
Zavadskas, E.K., Kaklauskas, A., Vainiūnas, P., Šaparauskas, J., (2004g). A model of sustainable urban development formation. International journal of strategic property management, 8(4), 219-229.
Zavadskas, E.K., Kaklauskas, A., Vilutienė, T., (2009d). Multicriteria evaluation of apartment blocks maintenance contractors: Lithuanian case study. International journal of strategic property management, 13(4), 319-338.
Zavadskas, E.K., Krutinis, M., Kaklauskas, A., Vainiūnas, P., Naimaviciene, J., Povilaityte, L., Tupenaite, L., (2008f). Model for multiple criteria analysis of integrated intelligent and built-up ambient assisted living environment. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 725-730). Vilnius: Technika.
Zavadskas, E.K., Peldschus, F., Kaklauskas, A., (1994c). Multiple criteria evaluation of projects in construction. Vilnius: Technika.
Zavadskas, E.K., Raslanas, S., Kaklauskas, A., (2007e). Evaluation of building retrofit projects. In 9th International conference on modern building materials, structures and techniques, May 16-18, 2007, Vilnius, Lithuania. Vilnius: Technika, Vol. 1-3, p. 438-441.
Zavadskas, E.K., Raslanas, S., Kaklauskas, A., (2008g). The selection of effective retrofit scenarios for panel houses in urban neighborhoods based on expected energy savings and increase in market value: The Vilnius case. Energy and buildings, 40(4), 573-587.
Zavadskas, E.K., Sloan, B., Kaklauskas, A., (1998d). Total life analysis, modelling and forecasting of the construction industry in Lithuania. In Housing: an heritage for the future: proceedings of the XXV IAHS world housing congress, June 29-July 3, 1998, Departamento de Engenharia Civil Faculdade de Engenharia da Universidade do Porto, Lisboa, Portugal. Vol. 2. Porto, p. 69-78.
Zavadskas, E.K., Vainiūnas, P., Kaklauskas, A., (2001f). Modelling and forecasting of real estate sector in Lithuania. In ERES 2001: Eight European real estate society conference: proceedings, June 26-29, 2001, Alicante, Spain. Institute of International Economics Department of Applied Economic Analysis. Faculty of Economics, University of Alicante [CD] (pp. 1-11). Alicante.
Zavadskas, E.K., Vitkauskas, A., Kaklauskas, A., (1994d). Selection of efficient standarts of building and juridical documents regulating the construction process in the former Soviet countries. Technological and economic development of economy, 3, 140-145.
Zhang, X., Shen, L., Zhang, L., (2013). Life cycle assessment of the air emissions during building construction process: A case study in Hong Kong. Renewable and Sustainable Energy Reviews, 17, 160-169.
Zhang, X., Wang, F., (2015). Life-cycle assessment and control measures for carbon emissions of typical buildings in China. Building and Environment, 86, 89-97.
Zimoch, E., (2012). Life-cycle assessment (LCA) of existing bridges and other structures, p. 60.

Chapter 2

Anastaselos, D., Oxizidis, S., Manoudis, A., Papadopoulos, A. M., (2016). Environmental performance of energy systems of residential buildings: Towards sustainable communities. Sustainable Cities and Society, 20, 96–108.
Babaizadeh, H., Haghighi, N., Asadi, S., Broun, R., Riley, D., (2015). Life cycle assessment of exterior window shadings in residential buildings in different climate zones. Building and Environment, 90, 168-177.
Bayer, C., Gamble, M., Gentry, R., Joshi, S., (2010). A Guide to Life Cycle Assessment of Buildings. The American Institute of Architects.
Birgisdóttir, H., Pihl, K.A., Bhander, G., Hauschild, M.Z., Christensen, T.H., (2006). Environmental assessment of roads constructed with and without bottom ash from municipal solid waste incineration. Transportation Research Part D: Transport and Environment, 11(5), 358-368.
Bribián, I.Z., Usón, A.A., Scarpellini, S., (2009). Life cycle assessment in buildings: State-of-the-art and simplified LCA methodology as a complement for building certification. Building and Environment, 44(12), 2510-2520.
Caliskan, H, (2015). Thermodynamic and environmental analyses of biomass, solar and electrical energy options based building heating applications. Renewable and Sustainable Energy Reviews, 43, 1016-1034.
Chau, C.K., Hui, W.K., Ng, W.Y., Powell, G., (2012). Assessment of CO2 emissions reduction in high-rise concrete office buildings using different material use options. Resources, Conservation and Recycling, 61, 22-34.
Corry, E., Pauwels, P., Hu, S., Keane, M., O'Donnell, J., (2015). A performance assessment ontology for the environmental and energy management of buildings. Automation in Construction, 57, 249-259.
De Feo, G., Malvano, C., (2012). Technical, economic and environmental analysis of a MSW kerbside separate collection system applied to small communities. Waste Management, 32(10), 1760-1774.
Den Boer, J., den Boer, E., Jager, J., (2007). LCA-IWM: a decision support tool for sustainability assessment of waste management systems. Waste Management, 27(8), 1032-1045.
Desideri, U., Arcioni, L., Leonardi, D., Cesaretti, L., Perugini, P., Agabitini, E., Evangelisti, N., (2014). Design of a multipurpose “zero energy consumption” building according to European Directive 2010/31/EU: Life cycle assessment. Energy and Buildings 80, 585-597.
Fouquet, M., Levasseur, A., Margni, M., Lebert, A., Lasvaux, S., Souyri, B., Buhé, C., Woloszyn, M., (2015). Methodological challenges and developments in LCA of low energy buildings: Application to biogenic carbon and global warming assessment. Building and Environment, 90, 51-59.
Gil-López, T., Gálvez-Huerta, M.A., Castejón-Navas, J., Gómez-García, V., (2012). Analysis of carbon impact using mix energy sources for industrial heating applications. An assessment of options to refit services in an existing building. Fuel Processing Technology, 103, 151-159.
Ginevičius, R., Zavadskas, E.K., Kaklauskas, A., (2002). Efficiency increase of distance learning by applying on-line intelligence computer learning systems. In Die neuen Medien bei Ausbildung, Weiterbildung and E-learning in Mecklenburg-Vorpommern und im Ostseeraum - Ausblick in die Zukunft: 8 Ostseeforum, November 22-23, 2002, Stralsund (pp. 25-30).
Ginevičius, R., Zavadskas, E.K., Kaklauskas, A., (2003a). Efficiency increase of distance learning by applying on-line intelligence computer learning systems. In Die neuen Medien bei Ausbildung, Weiterbildung and E-learning in Mecklenburg-Vorpommern und im Ostseeraum - Ausblick in die Zukunft: 8 Ostseeforum, November 22.11 bis 23.11.2002, Fachhochschule Stralsund (pp. 25-30). Stralsund.
Ginevičius, R., Zavadskas, E.K., Kaklauskas, A., (2003b). Efficiency increase of e-learning by applying on-line intelligence computer learning systems. Journal of business economics and management, 4(3), 203-207.
Global Guidance, (2011). Principles for Life Cycle. Assessment Databases. A Basis for Greener Processes and Products. United Nations Environment Programme.
Gong, Y., Tae, S., Suk, S., Chae, C., Ford, G., Smith, M.E., Steffen, R., (2015). Life Cycle Assessment Applied to Green Building Certification in South Korea. Procedia Engineering, 118, 1309-1313.
Gu, Q., Ren, H., Gao, W., Ren, J., (2012). Integrated assessment of combined cooling heating and power systems under different design and management options for residential buildings in Shanghai. Energy and Buildings, 51, 143-152.
Guezuraga, B., Zauner, R., Pölz, W., (2012). Life cycle assessment of two different 2 MW class wind turbines. Renewable Energy, 37(1), 37-44.
Hammond, G., Jones, C., (2008). Inventory of carbon and energy (ICE). Sustainable energy reaserach team (SERT), departament of Mechanical Engineering, University of Bath, UK.
Herrmann, I.T., Moltesen, A., (2015). Does it matter which Life Cycle Assessment (LCA) tool you choose? – a comparative assessment of SimaPro and GaBi. Journal of Cleaner Production, 86, 163-169.
Herva, M., Roca, E., (2013). Review of combined approaches and multi-criteria analysis for corporate environmental evaluation. Journal of Cleaner Production, 39, 355-371.
Hossain, J., (2013). Life-Cycle Assessment for a built Environment. Available on internet: . Accessed 8 Feb 2016.
Hossain, K.A., Khan, F., Hawboldt, K., (2008). Sustainable development of process facilities: state-of-the-art review of pollution prevention frameworks. Journal of Hazardous Materials, 150(1): 4-20.
Huang, Y., Bird, R., Heidrich, O., (2009). Development of a life cycle assessment tool for construction and maintenance of asphalt pavements. Journal of Cleaner Production, 17(2), 283-296.
Ibn-Mohammed, T., Greenough, R., Taylor, S., Ozawa-Meida, L., Acquaye, A., (2014). Integrating economic considerations with operational and embodied emissions into a decision support system for the optimal ranking of building retrofit options. Building and Environment, 72, 82-101.
Ingrao, C., Giudice, A.L., Tricase, C., Rana, R., Mbohwa, C., Siracusa, V., (2014). Recycled-PET fibre based panels for building thermal insulation: Environmental impact and improvement potential assessment for a greener production. Science of the Total Environment, 493, 914-929.
Iribarren, D., Marvuglia, A., Hild, P., Guiton, M., Popovici, E., Benetto, E., (2015). Life cycle assessment and data envelopment analysis approach for the selection of building components according to their environmental impact efficiency: a case study for external walls. Journal of Cleaner Production, 87, 707-716.
Kaklauskas, A., (2008). Intelligent library and tutoring system for e-learning. In 2nd International future-learning conference on innovtions in learning for the future 2008 e-Learning. March 27-29, 2008, Istanbul, Turkey (pp. 510-516). Istanbul: Istanbul University.
Kaklauskas, A., (2009). Information and intelligent technologies for neighbourhoods: Appendix 2. In Holt-Jensen, E & Pollock, E (Eds), Urban sustainability and governance: new challenges in Nordic-Baltic housing policies (pp. 305-321). New York: Nova Science Publishers.
Kaklauskas, A., Bagdonavicius, A., Sliogeriene, J., Kalibatas, D., Povilaityte, L., Gulbinas, A., (2006a). Development of market-based land mass appraisal online system for land taxation. In The first symposium of the world’s best practices in mass appraisal for Asia, August 25-26, 2006, Thailand (p. 297-307).
Kaklauskas, A., Budzeviciene, R., Kaklauskiene, J., Amaratunga, D., Keraminiyage, K., (2008a). Practical application and improvement of VEBER online questionnaire within VGTU e-learning environment. In CIB International conference on building education and research “Building resilience.” BEAR 2008. February 11-15, 2008, Heritance Kandalama, Sri Lanka (pp. 1650-1662). University of Salford, UK.
Kaklauskas, A., Ditkevičius, R., Gargasaitė, L., (2005a). Intelligent testing systems. In 6th International scientific conference “Public relation: quality, benefits and risks” (pp. 93-98). Riga: School of Business Administration Turiba.
Kaklauskas, A., Ditkevičius, R., Gargasaitė, L., (2006b). Intelligent lifelong learning tutoring system for real estate management/in: “EDEN 2006”: annual conference e-Competences for life, employment and innovation: “E” is more! E-learning enabling education in evolving Europe, June 14-17, 2006, Vienna, Austria (pp. 410-415). Vienna: EDEN.
Kaklauskas, A., Ditkevičius, R., Gargasaitė, L., (2006c). Intelligent tutoring system for real estate management. International journal of strategic property management, 10(2), 113-130.
Kaklauskas, A., Gikys, M., (2005). Increasing efficiency of multiple listing service systems applying web-based decision support system for real estate. Journal of civil engineering and management, 11(2), 91-97
Kaklauskas, A., Gulbinas, A., (2004). Integration decision support and expert systems, neural networks, GIS and multimedia in real estate decision support systems. In Экономика, оценка и управление недвижимостью: международная научно-практическая конференция, 1-3 декабря 2004 г., Минск (pp. 202-214). Минск: БГТУ.
Kaklauskas, A., Kaklauskas, G., Krutinis, M., Ditkevičius, R., (2005b). Intelligence computer learning systems in VGTU. In 6th International scientific conference “Public relation: quality, benefits and risks” (pp. 99-104). Riga: School of Business Administration Turiba.
Kaklauskas, A., Keršulienė, V., Urbanavičienė, V., (2008b). Determination of rational method for resolution of disputes with the help of multi-criteria negotiation decision support system for real estate /, in: 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 585-591). Vilnius: Technika.
Kaklauskas, A., Krutinis, M., Tupenaite, L., Naimavičienė, J., Gulbinas, A., Kanapeckienė, L., (2006d). Automated valuation models and knowledge-based decision support in real estate valuation. In the 6th International conference “Reliability and statistics in transportation and communication” (RelStat’06), October 25-28, 2006, Riga, Latvia (pp. 349-359). Riga: Transport and Telecommunication Institute.
Kaklauskas, A., Lepkova, N., Rimkuvienė, S., (2007a). E-learning and intelligent tutoring systems emphasis on an analysis of real estate e-learning master’s degree studies outputs. In Maintenance management 2007: third international conference on maintenance and facility management. September 27-28, 2007, Rome, Italy (pp. 175-181). Roma: CNIM.
Kaklauskas, A., Pečiūrė, L., Binkytė, A., Jazgevičienė, J., Siniak, N., (2014). CENEAST project: challenges and opportunities. In материалы конференции Экономика, оценка и управление недвижимостью: IV международная научно-практическая конференция, 28 марта 2014 года (Вильнюс) 2-3 апреля 2014 года (Минск) (pp. 31-43). Минск: БГТУ.
Kaklauskas, A., Trinkunas, V., (2009). Development multiple criteria model for complex quality evaluation of distance learning programs using a decision support system. In Proceedings of the IADIS international conference on cognition and exploratory learning digital age (CELDA 2009), November 20-22, 2009, Roma, Italy / International Association for Development of the Information Society (pp. 499-500). Roma: IADIS Press.
Kaklauskas, A., Tupenaite, L., Kanapeckienė, L., (2008c). Automated selection of value efficient buildings refurbishment alternatives. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 312-317). Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K. (2009). Theories of investment in property: use of information, knowledge and inteligent technologies. In Ruddock, L (Ed), Economics for the modern built environment (pp. 249-268). Oxfordshire: Taylor & Francis.
Kaklauskas, A., Zavadskas, E.K., (2003a). Review of the monograph “Web-Based decision support.” Journal of business economics and management, 6(2), 158-159.
Kaklauskas, A., Zavadskas, E.K., (2003b). Web-based decision support in building economics. In Knowledge construction: proceedings of the joint international symposium of CIB Working Commissions: W55: building economics, W65: organization and management of construction, W107: construction in developing countries, October 22-24, 2003 (pp. 50-60). Singapore: National University of Singapore.
Kaklauskas, A., Zavadskas, E.K., (2003c). Web-based decision support systems as created by VGTU. In ISEC 2003: third international conference on information system in engineering and construction, June 11-13, 2003, Cocoa Beach, Florida [CD] (pp. 1-15). Department of Manufacturing Technology and Construction Management, Corolado State University.
Kaklauskas, A., Zavadskas, E.K., (2007). Decision support system for innovation with a special emphasis on pollution. International journal of environment and pollution, 30(3-4), 518-528.
Kaklauskas, A., Zavadskas, E.K., Andruškevičius, A., (2005c). Cooperative integrated support system negotiation and decision support system for real estate. Lecture notes in computer science, 3675, 235-242.
Kaklauskas, A., Zavadskas, E.K., Babenskas, E., Seniut, M., Vlasenko, A., Plakys, V., (2007b). Intelligent library and tutoring system for Brita in the PuBs project. In 4th International conference on cooperative design, visualization, and engineering, September 16-20, 2007, Shanghai, China (pp. 157-166). SpringerVerlag Berlin.
Kaklauskas, A., Zavadskas, E.K., Banaitis, A., Trinkūnas, V., (2002a), Efficiency increase of export e-commerce systems by applying multiple criteria DSS. In 9th International multi-conference advanced computer systems “ACS’2002” “SCM’2002”: product system design, supply chain management and logistics. Part 2: proceedings, October 23-25, 2002, Poland (pp. 589-597). Szczecin.
Kaklauskas, A., Zavadskas, E.K., Budzevičienė, R., (2009). Web-based model of multiple criteria ethical decision-making for ethical behaviour of students. Journal of business economics and management, 10(1), 77-90.
Kaklauskas, A., Zavadskas, E.K., Čerkauskas, J., Ubartė, I., Banaitis, A., Krutinis, M., Naimavičienė, J., (2015). Housing health and safety decision support system with augmented reality. Procedia Engineering, 122, 143-150.
Kaklauskas, A., Zavadskas, E.K., Ditkevičius, R., (2006e). An intelligent tutoring system for construction and real estate management master degree studies. Lecture notes in computer science, 4101, 174-181.
Kaklauskas, A., Zavadskas, E.K., Galinienė, B., (2008d). A building’s refurbishment knowledge-based decision support system. International journal of environment and pollution, 35(2/3/4), 237-249.
Kaklauskas, A., Zavadskas, E.K., Gikys, M., Gulbinas, A., (2002b). Multiple criteria property e-business system. In The organization and management of construction: 10th International symposium on construction innovation and global competitiveness, September 9-13, 2002, Cincinnati, Ohio, USA [CD] (pp. 1-9). Ohio.
Kaklauskas, A., Zavadskas, E.K., Gikys, M., Gulbinas, A., (2003a). Multiple criteria property e-business system. In 10th international symposium on construction innovation and global ompetitiveness, September 09-13, 2002, Cincinnati, Ohio, USA. CRC Press-Taylor & Francis Group, Vol. 1-2, p. 739-752.
Kaklauskas, A., Zavadskas, E.K., Gikys, M., Raslanas, S., (2002c). Efficiency increase of distance learning by applying on-line intelligence computer learning systems. In The second research workshop of EDEN: research and policy in open and distance learning: research worshop book, March 21-23, 2002, Germany (pp. 124-127). Hildesheim.
Kaklauskas, A., Zavadskas, E.K., Kaklauskienė, J., Trinkūnas, V., (2003b). Ethical multiple criteria decision support web-based system. In 14th Mini-EURO Conference HCP’2003. Human centered procese: proceedings, May 5-7, 2003, Luxembourg (p. 53-57). Luxembourg.
Kaklauskas, A., Zavadskas, E.K., Kaminskas, A.Z., Trinkūnas, V., Kaklauskienė, J. (2002d). Efficiency increase of export on-line systems by applying multiple criteria decision support systems. In ICEB 2002: proceedings of the Second international conference on electronic business: global e-business in knowledge-based economy: management, practice, and opportunities, December 10-13, 2002, Taipei, Taiwan (pp. 45-47). Taiwan.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., (2005d). Decision support systems in Lithuania. Transport and telecommunication, 6(1), 11-17.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Gulbinas, A., (2004). Multiple criteria decision support web-based system for building refurbishment. In 6th International conference on energy for buildings, October 07-08, 2004, Vilnius, Lithuania (pp. 284-291). Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., Trinkūnas, V. (2007c). A multiple criteria decision support on-line system for construction. Engineering applications of artificial intelligence, 20(2), 163-175.
Kaklauskas, A., Zavadskas, E.K., Trinkūnas, V., (2001a). Multiple criteria e-business system for real estate. In Проблемы оценки в переходной экономике: международная конференция, 4-5 апреля 2001 г., Минск, Республика Беларусь [CD] (pp. 1-5). Минск.
Kaklauskas, A., Zavadskas, E.K., Vainiūnas, P., (2000). Efficiency increase of real estate e-business systems by applying multiple criteria decision support systems. Journal of property investment & finance, 18(6), 1-7.
Kaklauskas, A., Zavadskas, E.K., Vainiūnas, P., (2001b). Efficiency increase of real estate e-business systems by applying multiple criteria decision support systems / in: ERES 2001: Eighth European real estate society conference, June 26-29, 2001, University of Alicante, Spain: proceedings [CD] (pp. 1-7). Alicante.
Kaklauskas, A., Zavadskas, E.K., Vainiūnas, P., (2001c). Increase of efficiency of property e-commerce systems by applying multiple criteria decision support systems. In ERES 2001: Eight European real estate society conference, June 26-29, 2001, University of Alicante, Spain: proceedings [CD] (pp. 1-7). Alicante.
Kaklauskas, A., Zavadskas, E.K., Vainiūnas, P., Trinkūnas, V., (2002e). Construction calculators, analyzers, software, experts and decision support systems, their integration and applications. In Second Intrenational conference on information systems in engineering and construction “ISEC 2002,” June 13-14, 2002, Cocoa Beach, Florida, USA: conference proceedings [CD] (pp. 1-8). Department of Construction Management, University of Nebraska Lincoln.
Kaklauskas, A., Zavadskas. E.K., (2002). Internetinė sprendimų parama. Vilnius: Technika.
Kanapeckiene, L., Kaklauskas, A, Zavadskas, E.K., Seniut, M., (2010). Integrated knowledge management model and system for construction projects. Engineering applications of artificial intelligence, 23(7), 1200-1215.
Keraminiyage, K., Amaratunga, D., Haigh, R., Kaklauskas, A., (2008). Minimising content stagnation in construction education: automating the content update through a shared web repository for distance construction education. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 858-863). Vilnius: Technika.
Kneifel, J., (2010). Life-cycle carbon and cost analysis of energy efficiency measures in new commercial buildings. Energy and Buildings, 42 (3), 333-340.
Kreiner, H., Passer, A., Wallbaum, H., (2015). A new systemic approach to improve the sustainability performance of office buildings in the early design stage. Energy and Buildings, 109, 385-396.
Kursun, B., Bakshi, B,.R., Mahata, M., Martin, J.F., (2015). Life cycle and emergy based design of energy systems in developing countries: Centralized and localized options. Ecological Modelling, 305, 40-53.
Lacirignola, M., Blanc, I., (2013). Environmental analysis of practical design options for enhanced geothermal systems (EGS) through life-cycle assessment. Renewable Energy, 50, 901-914.
Lamnatou, Chr., Baig, H., Chemisana, D., Mallick, T. K., (2015). Life cycle energy analysis and embodied carbon of a linear dielectric-based concentrating photovoltaic appropriate for building-integrated applications. Energy and Buildings, 107, 366-375.
Lamnatou, Chr., Notton, G., Chemisana, D., Cristofari, C., (2014). Life cycle analysis of a building-integrated solar thermal collector, based on embodied energy and embodied carbon methodologies. Energy and Buildings, 84, 378-387.
Langdon, D., (2007). Life Cycle Costing (LCC) as a contribution to sustainable construction: a common methodology.
Lapinskiene, V., Martinaitis, V., (2013). The Framework of an Optimization Model for Building Envelope. Procedia Engineering, 57, 670-677.
Lee, S.H., Hong, T., Piette, M.A., Sawaya, G., Chen, Y., Taylor-Lange. S.C., (2015). Accelerating the energy retrofit of commercial buildings using a database of energy efficiency performance. Energy, 90, Part 1, 738-747.
Lotteau, M., Loubet, P., Pousse, M., Dufrasnes, E., Sonnemann, G., (2015). Critical review of life cycle assessment (LCA) for a built environment at the neighborhood scale. Building and Environment, 93, Part 2, 165-178.
Luo, Z., Zhao, J., Yao, R., Shu, Z., (2015). Emergy-based sustainability assessment of different energy options for green buildings. Energy Conversion and Management, 100, 97-102.
Makhlouf, A., Serradj, T., Cheniti, H., (2015). Life cycle impact assessment of ammonia production in Algeria: A comparison with previous studies. Environmental Impact Assessment Review, 50, 35-41.
Marques, J., Cunha, M., Savić, D.A., (2015). Multi-objective optimization of water distribution systems based on a real options approach. Environmental Modelling & Software, 63, 1-13.
Marszal, A.J., Heiselberg, P., Jensen, R.L., Nørgaard, J., (2012). On-site or off-site renewable energy supply options? Life cycle cost analysis of a Net Zero Energy Building in Denmark. Renewable Energy, 44, 154-165.
Means, P., Guggemos, A., (2015). Framework for Life Cycle Assessment (LCA) Based Environmental Decision-making During the Conceptual Design Phase for Commercial Buildings. Procedia Engineering, 118, 802-812.
Mosteiro-Romero, M., Krogmann, U., Wallbaum, H., Ostermeyer, Y., Senick, J.S., Andrews, C.J., (2014). Relative importance of electricity sources and construction practices in residential buildings: A Swiss-US comparison of energy related life-cycle impacts. Energy and Buildings, 68, Part A, 620-631.
Naimavičienė, J., Kaklauskas, A., Gulbinas, A., (2007). Multi-variant decision support e-system for device and knowledge based intelligent residential environment. Technological and economic development of economy, 13(4), 303-313.
Nemry, F., Uihlein, A., Colodel, C.M., Wetzel, C., Braune, A., Wittstock, B., Hasan, I., Kreißig, J., Gallon, N., Niemeier, S., Frech, Y., (2010). Options to reduce the environmental impacts of residential buildings in the European Union—Potential and costs. Energy and Buildings, 42(7), 976-984.
O’Connor, J., Bowick, M., (2014). Advancing sustainable design with life cycle assessment. Athena Sustainable Materials Institute. SAB Magazine.
Papadopoulos, A.M., Giama, E., (2007). Environmental performance evaluation of thermal insulation materials and its impact on the building. Building and Environment, 42(5), 2178-2187.
Rezaie, B., Dincer, I., Esmailzadeh, E., (2013). Energy options for residential buildings assessment. Energy Conversion and Management, 65, 637-646.
Salpakari, J., Lund, P., (2016.) Optimal and rule-based control strategies for energy flexibility in buildings with PV. Applied Energy, 161, 425-436.
Scarpellini, S., Zabalza, I., Aranda, A., Llera, E., Díaz, S., (2011). Life cycle assessment in buildings: The ENSLIC simplified method and guidelines. Energy, 36(4), 1900-1907.
Silvestre, J.D., de Brito, J., Pinheiro, M.D., (2014). Environmental impacts and benefits of the end-of-life of building materials – calculation rules, results and contribution to a “cradle to cradle” life cycle. Journal of Cleaner Production, 66, 37-45.
Srinivasan, R.S., Ingwersen, W., Trucco, C., Ries, R., Campbell, D., (2014). Comparison of energy-based indicators used in life cycle assessment tools for buildings. Building and Environment, 79, 138-151.
Steen, B., (2001). Environmental assessment tools. In Industrial Ventilation Design Guidebook (pp. 1357-1371). Academic Press.
Takano, A., Winter, S., Hughes, M., Linkosalmi, L., (2014). Comparison of life cycle assessment databases: A case study on building assessment. Building and Environment, 79, 20-30.
Thiers, S., Peuportier, B., (2008). Thermal and environmental assessment of a passive building equipped with an earth-to-air heat exchanger in France. Solar Energy, 82(9), 820-831.
Trusty, W., (2009). Incorporating LCA in Green Building Rating Systems. Air & Waste Management Association.
Trusty, W., (2010). An Overview of Life Cycle Assessments: Part One of Three. Athena Sustainable Materials Institute.
Trusty, W.B., Meril, J.K., Norris, G.A., (1998). ATHENA: A LCA Decision Support Tool for the Building Community. Proceedings: Green Building Challenge ‘98—An International Conference on the Performance Assessment of Buildings, Vancouver, 26-28 October 1998, p. 8.
U.S. life cycle inventory database, (2012). National Renewable Energy Laboratory. Available on internet: . Accessed 19 Nov 2012.
Uihlein, A., Eder, P., (2010). Policy options towards an energy efficient residential building stock in the EU-27. Energy and Buildings, 42(6), 791-798.
Urbanaviciene, V., Kaklauskas, A., Zavadskas, E.K., Seniut, M., (2009). The web-based real estate multiple criteria negotiation decision support system: a new generation of decision support systems. International journal of strategic property management, 13(3), 267-286.
Urbanavicienė, V., Kaklauskas, A., Zavadskas, E.K., Šliogerienė, J., Naimavičienė, J., Vatin, N.I., (2014). Facilitating the housing bargaining with the help of the bargaining decision support system. International Journal of Strategic Property Management, 18(3): 213-224.
Vainiūnas, P., Kaklauskas, A., (2005). Intelligent tutoring systems as created by VGTU. In Proceedings of 5th AECEF symposium on civil engineering in the next decade (ASCEND): strategies for education, research, innovation and practice, June 15-17, 2005, Espoo, Finland (pp. 143-148). Helsinki: Helsinki University of Technology.
Wallhagen, M., Glaumann, M., Malmqvist, T., (2011). Basic building life cycle calculations to decrease contribution to climate change – Case study on an office building in Sweden. Building and Environment, 46(10), 1863-1871.
Wang, N., Chang, Y-C., Nunn, C., (2010). Life cycle assessment for sustainable design options of a commercial building in Shanghai. Building and Environment, 45(6), 1415-1421.
Williams, A.S., (2009). Life Cycle Analysis: A Step by Step Approach. ISTC Reports Illinois Sustainable Technology Center.
Wu, P., Xia, B., Zhao, X., (2014). The importance of use and end-of-life phases to the life cycle greenhouse gas (GHG) emissions of concrete: a review. Renewable and Sustainable Energy Reviews, 37, 360-369.
Yung, P., Lam, K.C., Yu, C., (2013). An audit of life cycle energy analyses of buildings. Habitat International, 39, 43-54.
Zavadskas, E.K., Kaklauskas, A., (1991). Automated multivariant design of buildings, multi-purpose comprehensive evaluation and selection of the most efficient versions. Denmark: Aalborg Universitetscenter.
Zavadskas, E.K., Kaklauskas, A., (1995). Project quality increace by application of quality expert system. In Proceedings of 4th International conference “Modern building materials, structures and techniques,” May 10-13, 1995, Vilnius, Lithuania. Vilnius: Technika, Vol. 1, p. 359-366.
Zavadskas, E.K., Kaklauskas, A., (1996a). Raising the efficiency of studies by using the multicriteria desision-making system. In International symposium for “The organisation and management of construction.” Shaping theory and practice. Vol. 2. Managing the construction project and managing risk / D. A. Langford and A. Retik (Eds.). CIB W 65, E and FN SPON, London, Weinheim, New York, Tokyo, Melbourne, Madras (pp. 222-231).
Zavadskas, E.K., Kaklauskas, A., (1996b). Students practice efficiency increase with using multicriteria decision-making system. In The scope, place and contents of practice in engineering education: seminar of the SEFI curriculum development working group, Vilnius Technical University, May 23-25, 1996 (pp. 129-131). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., (1996c). Students practice efficiency increasing with using multiple criteria decision-making system. In The scope, place and contents of practice in engineering education: proceedings of a SEFI curriculum development group. Seminar held at Vilnius Technical University, May, 1996. SEFI document No 18 (pp. 74-81). Brussels: Publisher SEFI HQ.
Zavadskas, E.K., Kaklauskas, A., (1996d). Total quality project assessment system. In Deutsch-Litauisch-Polnisches Kolloquium zum Baubetriebswesen. HTWK: Beiträge Zu Lehre und Forschung, Jg. 3, p. 36-40.
Zavadskas, E.K., Kaklauskas, A., (2000). Efficiency increase in research and studies while applying up-to-date information technologies. Statyba, 6(6), 397-414.
Zavadskas, E.K., Kaklauskas, A., (2004). Civil engineering decision support systems in Lithuania. In 10th International conference on computing in civil and building engineering (ICCCBE), June 2-4, 2004, Weimar: proceedings [CD] (pp. 1-12). Weimar.
Zavadskas, E.K., Kaklauskas, A., (2005a). Decision support system for building retrofit. Podium: 10 Internationales Kolloquium Planungsinstrumente für das Projektmanagement am 19 und 20 Mai 2005 in Leipzig. Leipzig: HTWK, 2005, Jg. 11, Sonderheft 1, p. 18-22.
Zavadskas, E.K., Kaklauskas, A., (2005b). Knowledge management system for real estate. Podium: 10 Internationales Kolloquium Planungsinstrumente für das Projektmanagement am 19 und 20 Mai 2005 in Leipzig. Leipzig: HTWK, 2005, Jg. 11, Sonderheft 1, p. 32-34.
Zavadskas, E.K., Kaklauskas, A., (2005c). Multiple criteria web-based negotiation decision support system for real estate/Podium: 10 Internationales Kolloquium Planungsinstrumente für das Projektmanagement am 19 und 20 Mai 2005 in Leipzig. Leipzig: HTWK, 2005, Jg. 11, Sonderheft 1, p. 56-58.
Zavadskas, E.K., Kaklauskas, A., (2009). Web-based intelligent decision support system for real estate. Intellectual economics, 2(6), 51-60.
Zavadskas, E.K., Kaklauskas, A., Ambrasas, G., (1997a). The system for multicriteria analysis of life-time process of projects. In Professional standards and quality in engineering education: the second working conference on engineering education, March 24-27, 1997, Sheffield Hallam University, Sheffield, England/M. D. Bramhall, I. M. Robinson (Eds.): proceedings (pp. 425-430). Sheffield.
Zavadskas, E.K., Kaklauskas, A., Ambrasas, G., (1998a). Increase of students study efficiency by application of multiple criteria decision support systems. In 2nd Baltic seminar on engineering education/UNESCO International Centre for Engineering Education. Riga, Latvia, 26-28 September, 1998. Riga: Riga Technical University.
Zavadskas, E.K., Kaklauskas, A., Ambrasas, G., (1998b). Increase of student study efficiency through the application of multiple criteria decision support systems. In 2nd Baltic region seminar on engineering education, September 26-28, 1998, Riga, Latvia. Book series: Monash Engineering Education Series (pp.128-134). UICEE, Monash University.
Zavadskas, E.K., Kaklauskas, A., Ambrasas, G., (1998c). The system for multicriteria analysis of life-time process of projects. In The reform and development of Vilnius Gediminas Technical University (pp. 194-205). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Ambrasas, G., Jonaitis, V., (1998d). The selection of a rational refurbishment version of dwelling houses by making use of the multicriteria system. In Housing: an heritage for the future: proceedings of the XXV IAHS world housing congress, June 29-July 3, 1998, Departamento de Engenharia Civil Faculdade de Engenharia da Universidade do Porto, Lisboa, Portugal. Vol. 2. Porto, p. 692-701.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., (2010a). Application of e-technologies for regional development: case of Vilnius city. Journal of business economics and management, 11(3), 415-427.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., (2010b). Real estate’s knowledge and device-based decision support system. International journal of strategic property management, 14(3), 271-282.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., Krutinis, M., Trinkūnas, V., (2000a). Increase of efficiency of construction materials e-commerce systems applying multiple criteria decision support systems. In the 2nd International scientific practical conference “Information society ‘2000. Jump into the new e-economy. Let’s invest into the new e-economy,” 23-24 October 2000 (pp. 76-79). Vilnius.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., Trinkūnas, V., (2005a). System for real time support in construction materials selection. International journal of strategic property management, 9(2), 99-109.
Zavadskas, E.K., Kaklauskas, A., Gikys, M., Gulbinas, A., (2001a). Efficiency increase of property e-business systems by applying multiple criteria support systems. In 54th Meeting of the European working group “Multiple aid for decissions”: proceedings, October 4-5, 2001, Durbuy, Belgium [CD] (pp. 1-9). Durbuy.
Zavadskas, E.K., Kaklauskas, A., Gikys, M., Lepkova, N., (2004a). A multiple criteria decision support web-based system for facilities management. International journal of internet and enterprise management, 2(1), 30-44.
Zavadskas, E.K., Kaklauskas, A., Gulbinas, A., (2004b). Multiple criteria decision support web-based system for building refurbishment. Journal of civil engineering and management, 10(1), 77-85.
Zavadskas, E.K., Kaklauskas, A., Kaklauskiene, J., Trinkunas, V., Krutinis, M., (2004c). Web-based multiple criteria analysis of ethical and trust problems. Foundations of civil and environmental egineering, 5, 57-72.
Zavadskas, E.K., Kaklauskas, A., Kaminskas, A.Z., Gulbinas, A., Lepkova, N., Kaklauskienė, J., (2002a). A multiple criteria decision support web-based system for facilities management. In ICEB 2002: proceedings of the Second international conference on electronic business: global e-business in knowledgebased economy: management, practice, and opportunities, December 10-13, 2002, Taipei, Taiwan (pp. 109-111). Taiwan.
Zavadskas, E.K., Kaklauskas, A., Krutinis, M., Malienė, V., Raslanas, S., (2000b). Property e-business system. In Proceedings joint meeting of CIB working comissions W55 and W65 and task groups TG23, TG31 and TG35. September 13-15, 2000, United Kingdom,/Departament of Construction Management and Engineering the University of Reading. - .
Zavadskas, E.K., Kaklauskas, A., Krutinis, M., Raslanas, S., Malienė, V., (2000c). Multiple criteria property e-business system. In the 2nd International scientific practical conference “Information society ‘2000. Jump into the new e-economy. Let’s invest into the new e-economy,” October 23-24, 2000, Vilnius, Lithuania (pp. 80-83).
Zavadskas, E.K., Kaklauskas, A., Kvederytė, N., (2000d). Decision support system for building life cycle. In Multicriteria aids for decisions: 52nd meeting of the European working group, October 5-6, 2000, Vilnius, Lithuania (pp. 18-20). Vilnius.
Zavadskas, E.K., Kaklauskas, A., Lepkova, N., Gikys, M., (2002b). Multiple criteria decision support on-line system for facilities managemet. In Applying and extending the global knowledge base: proceedings of the CIB working commission 070. Facilities management and maintenance. Global symposium 2002: CIB proceedings. Publication 277 (pp. 242-256). Glasgow.
Zavadskas, E.K., Kaklauskas, A., Lepkova, N., Gikys, M., Banaitis, A., (2002c). Web-based simulation system for facilities management (FM). In 9th International multi-conference advanced computer systems “ACS’2002” - “SCM’2002”: product system design, supply chain management and logistics. Part 2: proceedings, October 23-25, 2002, Poland (pp. 514-522). Szczecin.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., (2004d). Decision support systems in Lithuania. Computer modelling and new technologines, 8(2), 26-31.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., Krutinis, M., (2000e). A multiple criteria property e-bussiness system. In Multicriteria aids for decisions: 52nd meeting of the European working group, October 5-6, 2000, Vilnius, Lithuania. Vilnius (p. 21).
Zavadskas, E.K., Kaklauskas, A., Saparauskas, J., (2005b). Sustainable urban development and web-based multiple criteria analysis. Foundations of civil and environmental engineering, 6, 217-226.
Zavadskas, E.K., Kaklauskas, A., Saparauskas, J., Raslanas, S., Gikys, M., (2003a). Web-based multiple criteria analysis of sustainable urban development problems. In ISEC 2003: third international conference on information system in engineering and construction, June 11-13, 2003, Cocoa Beach, Florida [CD] (pp. 1-7). Department of Manufacturing Technology and Construction Management, Corolado State University.
Zavadskas, E.K., Kaklauskas, A., Trinkūnas, V., (2001b). Construction products multiple criteria e-commerce system. In 54emes Journées du Groupe de Travail Européen: “Aide multicritere a la décision” proceedings, Octobre 4-5, 2001, Durbuy, Belgium: proceedings [CD] (pp. 1-8). Durbuy.
Zavadskas, E.K., Kaklauskas, A., Trinkūnas, V., (2002d). Increase of efficiency of construction materials e-commerce systems applying intelligent agents. In The organization and management of construction: 10th symposium on construction innovation and global competitiveness, September 9-13, 2002, Cincinnati, Ohio, USA [CD] (pp. 1-13). Ohio.
Zavadskas, E.K., Kaklauskas, A., Trinkūnas, V., (2003b). Increase of efficiency of construction materials e-commerce systems applying intelligent agents. In 10th International symposium on construction innovation and global competitiveness, September 09-13, 2002, Cincinnati, Ohio, USA. CRC Press-Taylor & Francis Group, Vol. 1-2, p. 611-625.
Zavadskas, E.K., Kaklauskas, A., Trinkunas, V., (2005c). eGovernment and intelligent systems for international trade. In Electronic government: workshop and poster: proceedings of the international EGOV conference, August 22-26, 2005, Denmark (pp. 366-373). Linz: Trauner Verlag.
Zavadskas, E.K., Kaklauskas, A., Trinkūnas, V., Trinkūnienė, E., (2003c). Model of construction e-business system. In International conference on modelling and simulation of business systems, May 13-14, 2003, Vilnius, Lithuania (pp. 359-363). Kaunas: Technologija.
Zavadskas, E.K., Kaklauskas, A., Trinkūnas, V., Trinkūnienė, E., (2004e). Innovations in construction e-business systems: improving materials selection. Foundations of civil and environmental engineering, 5, 47-56.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., (1997b). Multicriteria decision-making system for building refurbishment. Statyba, 4(12), 62-68.
Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Ambrasas, G., (1999a). Housing refurbishment decision support system. In International conference “Information technologies for education, science and business,” June 24-25, 1999, Minsk, Belorus (pp. 22-26). Minsk.
Zavadskas, E.K., Kaklauskas, A., Vainiūnas, P., Dubakienė, R., Gulbinas, A., Krutinis, M., Cyras, P., Rimkus, L., (2006). A building’s refurbishment knowledge and device based decision support system. Lecture notes in computer science, 4101, 287-294.
Zavadskas, E.K., Kaklauskas, A., Vainiūnas, P., Gikys, M., (2002e). Efficiency increase of internet based information systems by applying multiple criteria decision support systems. In Second International conference on information systems in engineering and construction “ISEC 2002”: conference proceedings, June 13-14, 2002, Cocoa Beach, Florida, USA [CD] (pp. 1-8). Department of Construction Management University of Nebraska Lincoln.
Zavadskas, E.K., Kaklauskas, A., Viteikienė, M., (2004f). Database of best practices and decision support web-based system for construction innovation. In 10th International conference on computing in civil and building engineering (ICCCBE), June 2-4, 2004, Weimar: proceedings [CD] (pp. 1-8). Weimar.
Zavadskas, E.K., Kaklauskas, A., Viteikienė, M., (2005d). Decision support of web-based system for construction innovation. Computer modelling and new technologies, 9(1), 57-67.
Zavadskas, E.K., Kaklauskas, A., Vlasenko, A., Gulbinas, A., (2007a). Intelligent library and tutoring system for Brita in PuBs Project. In 9th International conference on modern building materials, structures and techniques, May 16-18, 2007, Vilnius, Lithuania. Vilnius: Technika, Vol. 1-3, p. 433-437.
Zavadskas, E.K., Kaklauskas, A., Vlasenko, A., Gulbinas, A., (2007b). Intelligent library and tutoring system for Brita in PuBs project. In Modern building materials, structures and techniques: proceedings of the 9th international conference, May 16-18, 2007, Vilnius, Lithuania [CD] (pp. 1-5). Vilnius: Technika.
Zavadskas, E.K., Kaplinski, O., Kaklauskas, A., Brzeziński, J., (1995). Expert system in construction industry. Trends, potential and applications. Vilnius: Technika.
Zavadskas, E.K., Naimaviciene, J., Kaklauskas, A., Krutinis, M., Vainiūnas, P., (2008). Multi-criteria decision support system of intelligent ambient assisted living environment. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 717-724). Vilnius: Technika.
Zavadskas, E.K., Simanauskas, L. Kaklauskas, A., Kvederytė, N., (1999b). The decision support system for multiple criteria analysis of life cycle of building. In International conference “Information technologies for education, science and business,” June 24-25, 1999, Minsk, Belorus (pp. 199-204). Minsk.
Zavadskas, E.K., Simanauskas, L., Kaklauskas, A., (1999c). Sprendimų paramos sistemos statyboje. Vilnius: Technika.
Zhang, X., Wang, F., (2015). Life-cycle assessment and control measures for carbon emissions of typical buildings in China. Building and Environment, 86, 89-97.
Zhao, J., Plagge, R., Ramos, N.M.M., Simões, M.L., Grunewald, J., (2015). Concept for development of stochastic databases for building performance simulation – A material database pilot project. Building and Environment, 84, 189-203.

Chapter 3

About.com, (20100 Human Resources. Available on internet:
http://www.humanresources.about.com. Accessed 6 Oct 2014.
Adomavicius, J., (1998). Informatika. Kaunas: Technologija.
Akoumianakis, D., Savidis, A., Stephanidis, C., (2000). Encapsulating intelligent interactive behaviour in unified user interface artefacts. Interacting with Computers, 12, 383-408.
Alvarez-Cortes, V., Zarate, V.H., Uresti, J.A.R., Zayas, B.E., (2009). Current Challenges and Applications for Adaptive User Interfaces. In Maurtua, I (Ed), Human-Computer Interaction, ISBN: 978-953-307-022-3, InTech, DOI: 10.5772/7745. Available from: http://www.intechopen.com/books/human-computer-interaction/current-challenges-and-applications-for-adaptive-user-interfaces.
Barton, J., Plume, J., Parolin, B., (2005). Public participation in a spatial decision support system for public housing. Computers, Environment and Urban Systems, 29(6), 630-652.
Binbasioglu, M., (1996). Building linear programming models from structural model components. International Transactions in Operational Research, 3(2), 151-168.
Brandi, A., Gori, S., Nigro, M., Petrelli, M., (2014). Development of an integrated transport-land use model for the activities relocation in urban areas. Transportation Research Procedia, 3, 374-383.
Cao, V., Margni, M., Favis, B.D., Deschênes, L., (2015). Aggregated indicator to assess land use impacts in life cycle assessment (LCA) based on the economic value of ecosystem services. Journal of Cleaner Production, 94(1), 56-66.
Chen, J.L., Sun, S.H., Hwang, W.C., (1995). An intelligent data base system for composite material selection in structural design. Engineering Fracture Mechanics, 50(5-6), 935-946.
Comi, A., Rosati, L., (2015). CLASS: A DSS for the analysis and the simulation of urban freight systems. Transportation Research Procedia, 5, 132-144.
Cottrill, C.D., Thakuriah, P., (2010). Evaluating pedestrian crashes in areas with high low-income or minority populations. Accident Analysis & Prevention, 42(6), 1718-1728.
Dagdougui, H., Minciardi, R., Ouammi, A., Robba, M., Sacile, R., (2012). Modeling and optimization of a hybrid system for the energy supply of a “Green” building. Energy Conversion and Management, 64, 351-363.
Donaldson-Selby, G., Hill, T., Korrubel, J., (2007). Photorealistic visualisation of urban greening in a low-cost high-density housing settlement, Durban, South Africa. Urban Forestry & Urban Greening, 6(1), 3-14.
Durmisevic, S., Sariyildiz, S., (2001). A systematic quality assessment of underground spaces – public transport stations. Cities, 18(1), 13-23.
Ehlert, P., (2003), Intelligent user interfaces. Introduction and survey. Research Report DKS03-01/ICE 01.
Europulsas, (2006). Available at: Available on internet: pages/nz_07.htm>. Accessed 6 Oct 2014.
Fancello, G., Carta, M., Fadda, P., (2015). A decision support system for road safety analysis. Transportation Research Procedia, 5, 201-210.
Garay-Vega, L., Pradhan, A.K., Weinberg, G., Schmidt-Nielsen, B., Harsham, B., Shen, Y., Divekar, G., Romoser, M., Knodler, M., Fisher, D.L. (2010). Evaluation of different speech and touch interfaces to in-vehicle music retrieval systems. Accident Analysis & Prevention, 42(3), 913-920.
Ginevicius, T., Kaklauskas, A., Kazokaitis, P., Alchimovienė, J., (2011). Recommender system for real estate management. Business: Theory and Practice, 12(3), 258-267.
Gu, Q., Zhong, R., Ju, D-Y., (2006). Development of materials database system for cae system of heat treatment based on data mining technology. Transactions of Nonferrous Metals Society of China, 16(2), s572-s576.
Gudauskas, R., Kaklauskas, A., Jokūbauskienė, S., Targamadzė, V., Budrytė, L., Čerkauskas, J., Kuzminskė, A., (2015). Advisory, negotiation and intelligent decision support system for leadership analysis. International Journal of Computers, Communications & Control, 10(5), 667-677.
Hartmann, M., (2010). Context-Aware Intelligent user interfaces for Supporting System Use. Dissertation, Technischen Universität Darmstadt.
Joan Lloyd & Associates, (2010). Available on internet: . Accessed 6 Oct 2014.
Johnson, L., Smith, R., Willis, H., Levine, A., Haywood, K., (2011). The 2011 Horizon Report. Austin, Texas: The New Media Consortium.
Juan, Y.-K., Gao, P., Wang, J., (2010). A hybrid decision support system for sustainable office building renovation and energy performance improvement. Energy and Buildings, 42(3), 290-297.
Juan, Y.-K., Kim, J.H., Roper, K., Castro-Lacouture, D., (2009). GA-based decision support system for housing condition assessment and refurbishment strategies. Automation in Construction, 18(4), 394-401.
Kabak, M., Köse, E., Kırılmaz, O., Burmaoğlu, S., (2014). A fuzzy multi-criteria decision-making approach to assess building energy performance. Energy and Buildings, 72, 382-389.
Kaklauskas, A., (2015). Biometric and Intelligent Decision-making Support. Series: Intelligent Systems Reference Library 81. Berlin: Springer-Verlag.
Kaklauskas, A., Daniūnas, A., Binkytė, A., Kliukas, R., Kazokaitis, P., Kaklauskas, G., Juozapaitis, A., Banaitis, A., Budrytė, L., (2015b). Crisis Thermometer for housing market recommendations. Land use policy, 48, 25-37.
Kaklauskas, A., Kovachec, L., Safonov, A., Paliskiene, R., Bartkiene, L., Jackute, I., (2014d). Smart Stress Management System for Media and Arts Employees. Studies in Health Technology and Informatics, 207, 280-289.
Kaklauskas, A., Krutinis, M., Seniut, M., (2009a). Biometric mouse intelligent system for student’s emotional and examination process analysis. In proceedings of the 9th IEEE International conference on advanced learning technologies (ICALT 2009), July 15-17, 2009, Riga, Latvia (pp. 189-193). Riga: Institute of Electrical and Electronics Engineers.
Kaklauskas, A., Kuzminskė, A., Zavadskas, E.K., Daniūnas, A., Kaklauskas, G., Seniut, M., Raistenskis, J., Safonov, A., Kliukas, R., Juozapaitis, A., Radzevičienė, A., Čerkauskienė, R., (2015a). Affective tutoring system for built environment management. Computers & Education, 82, 202-216.
Kaklauskas, A., Lepkova, N., Amaratunga, D., Lill, I., Urbonaviciene, V., Naimaviciene, J., Budryte, L., Tupenaite, L., Kanapeckiene, L., (2014c). Recommender Thermometer for Measuring the Preparedness for Flood Resilience Management. Procedia Economics and Finance, 18, 377-384.
Kaklauskas, A., Pečiūrė, L., Pališkienė, R., Binkytė, A., Jazgevičienė, J., Palionytė, U., Bružas, V., Kvederavičius, K., Siniak, N. (2014e). The use of intelligent and biometric technologies in ceneast project. In материалы конференции Экономика, оценка и управление недвижимостью: IV международная научно-практическая конференция, 28 марта 2014 года (Вильнюс) 2-3 апреля 2014 года (Минск) (pp. 44-53). Минск: БГТУ.
Kaklauskas, A., Rutė, J., Zavadskas, E.K., Daniūnas, A., Pruskus, V., Bivainis, J., Gudauskas, R., Plakys, V., (2012a). Passive house model for quantitative and qualitative analyses and its intelligent system. Energy and buildings, 50, 7-18.
Kaklauskas, A., Safonov, A., Juozapaitis, A., Paliskiene, R., Povilaityte, V., Rimkuviene, S., Peciure, L., Kaklauskas, G., Bartkiene, L., (2014a). Biometric Advisory System to Analyze a User's Post-Disaster Stress Management. Procedia Economics and Finance, 18, 908-915.
Kaklauskas, A., Seniut, M., Amaratunga, D., Lill, I., Safonov, A., Vatin, N., Cerkauskas, J., Jackute, I., Kuzminske, A., Peciure, L., (2014b). Text Analytics for Android Project. Procedia Economics and Finance, 18, 610-617.
Kaklauskas, A., Seniut, M., Zavadskas, E.K., Dzemyda, G., Stankevic, V., Simkevicius, C., Ivanikovas, S., Stankevic, T., Matuliauskaite, A., Zemeckyte, L., (2012d). Recommender System to Analyse Students’ Learning Productivity. Informatics in Control, Automation and Robotics, 133, 161-164.
Kaklauskas, A., Vainiunas, P., Vlasenko, A., (2008a). Intelligent voice stress analysis system for e-examination and studies efficiency monitoring. In 6th AECEF symposium on civil engineering education in changing Europe, May 28-30, 2008, Vilnius, Lithuania (pp. 49-55). Vilnius: Technika.
Kaklauskas, A., Vlasenko, A., Amaratunga, D., Keraminiyage, K., (2008b). Biometrics technologies, intelligent library and tutoring system within the EURASIA project. In CIB International conference on building education and research “Building resilience.” BEAR 2008. February 11-15, 2008, Heritance Kandalama, Sri Lanka (pp. 1663-1671). University of Salford, UK.
Kaklauskas, A., Vlasenko, A., Raudonis, V., Zavadskas, E.K., (2012c). Intelligent Pupil Analysis of Student Progress System. Informatics in Control, Automation and Robotics, 133, 165-168.
Kaklauskas, A., Vlasenko, A., Raudonis, V., Zavadskas, E.K., Gudauskas, R., Seniut, M., Juozapaitis, A., Jackutė, I., Kanapeckienė, L., Rimkuvienė, S., Kaklauskas, G., (2013b). Student progress assessment with the help of an intelligent pupil analysis system. Engineering applications of artificial intelligence, 26(1), 35-50.
Kaklauskas, A., Vlasenko, A., Seniut, M., Krutinis, M., (2009b). Voice stress analyser system for e-testing. In ICALT: 2009 IEEE International conference on advanced learning technologies, July 15-17, 2009, Riga, Latvia (pp. 693-695). IEEE.
Kaklauskas, A., Zavadskas, E.K., (2012). Биометрическая и интеллектуальная поддержка решений: монография. Вильнюс: Техника.
Kaklauskas, A., Zavadskas, E.K., (2013). Биометрическая и интеллектуальная поддержка решений (2nd complemented edition). Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., Kazokaitis, P., Bivainis, J., Galiniene, B., d’Amato, M., Naimaviciene, J., Urbanaviciene, V., Vitas, A., Cerkauskas, J., (2013d). Crisis Management Model and Recommended System for Construction and Real Estate. Advanced Methods for Computational Collective Intelligence, 457, 333-343.
Kaklauskas, A., Zavadskas, E.K., Pruskus, V., Vlasenko, A., Bartkiene, L., Paliskiene, R., Zemeckyte, L., Gerstein, V., Dzemyda, G., Tamulevicius, G., (2011b). Recommended biometric stress management system. Expert Systems with Applications, 38(11), 14011-14025.
Kaklauskas, A., Zavadskas, E.K., Pruskus, V., Vlasenko, A., Seniut, M., Kaklauskas, G., Matuliauskaite, A., Gribniak, V., (2010). Biometric and intelligent self-assessment of student progress system. Computers & education, 55, 821-833.
Kaklauskas, A., Zavadskas, E.K., Seniut, M., Dzemyda, G., Stankevič, V., Šimkevičius, Č., Stankevič, T., Pališkienė, R., Matuliauskaitė, A., Kildienė, S., Bartkienė, L., Ivanikovas, S., Gribniak, V., (2011a). Web-based biometric computer mouse advisory system to analyze a user’s emotions and work productivity. Engineering applications of artificial intelligence, 24(6), 928-945.
Kaklauskas, A., Zavadskas, E.K., Seniut, M., Krutinis, M., Dzemyda, G., Ivanikovas, S., Stankevic, V., Simkevicius, E., Jarusevicius, A., (2008c). Web-based biometric mouse decision support system for user’s emotional and labour productivity analysis. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 69-75). Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., Seniut, M., Stankevic, V., Raistenskis, J., Simkevičius, C., Stankevic, T., Matuliauskaite, A., Bartkiene, L., Zemeckyte, L., Paliskiene, R., Cerkauskiene, R., Gribniak, V., (2013a). Recommender System to Analyze Student’s Academic Performance. Expert Systems with Applications, 40(15), 6150-6165.
Kaklauskas, A., Zavadskas, E.K., Seniut, M., Vlasenko, A., (2013c). Biometric and Intelligent Student Progress Assessment System. Advanced Methods for Computational Collective Intelligence, 457, 59-69.
Kaklauskas, A., Zavadskas, E.K., Trinkunas, V., Tupenaite, L., Cerkauskas, J., Kazokaitis, P., (2012b). Recommender System to Research Students’ Study Efficiency. Procedia - Social and Behavioral Sciences, 51, 980-984.
Kamruzzaman, Md., Baker, D., (2013). Will the application of spatial multi criteria evaluation technique enhance the quality of decision-making to resolve boundary conflicts in the Philippines? Land Use Policy, 34, 11-26.
Kim, B.H., Kim, M., Jo, S., (2014a). Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking. Computers in Biology and Medicine, 51, 82-92.
Kim, H.Y., Lee, H.K., (2014). Enhanced validity and reliability of spatial decision support systems (SDSS) for sustainable transportation decision-making. Applied Geography, 51, 65-71.
Kim, H.Y., Wunneburger, D., Neuman, M., Young, S., (2014b). An optimizing high-speed rail route using a spatial decision support system (SDSS): the Texas Urban Triangle (TUT) case. Journal of Transport Geography, 34, 194-201.
Koga, M., Izumi, Sh., Matsubara, Sh., Inada, Y., Gaidar, D., (2014). Proposal for welfare town planning method and experimental development of support system for persons with disabilities. Procedia Environmental Sciences, 22, 70-77.
Luisetti, T., Turner, R.K., Bateman, I.J., Morse-Jones, S., Adams, Ch., Fonseca, L., (2011). Coastal and marine ecosystem services valuation for policy and management: Managed realignment case studies in England. Ocean & Coastal Management, 54(3), 212-224.
Manley, M., Kim, Y.S., (2012). Modeling emergency evacuation of individuals with disabilities (exitus): An agent-based public decision support system. Expert Systems with Applications, 39(9), 8300-8311.
Markiz, N., Jrade, A., (2014). Integrating a fuzzy-logic decision support system with bridge information modelling and cost estimation at conceptual design stage of concrete box-girder bridges. International Journal of Sustainable Built Environment, 3(1), 135-152.
Mendonça, D., (2007). Decision support for improvisation in response to extreme events: Learning from the response to the 2001 World Trade Center attack. Decision Support Systems, 43(3), 952-967.
Miah, S.J., Kerr, D., Gammack, J., Cowan, T., (2008). A generic design environment for the rural industry knowledge acquisition. Knowledge-Based Systems, 21(8), 892-899.
Michele, Di S., Daniela, L., (2011). Decision-support tools for municipal infrastructure maintenance management. Procedia Computer Science, 3, 36-41.
Moges, S.A., Katambara, Z., Bashar, K., (2003). Decision support system for estimation of potential evapo-transpiration in Pangani Basin. Physics and Chemistry of the Earth Parts A/B/C 28 (20-27), 927-934.
Moon, T.-H., Heo, S.-Y., Lee, S.-H., (2014). Ubiquitous Crime Prevention System (UCPS) for a safer city. Procedia Environmental Sciences, 22, 288-301.
Nihalani, N., Silakari, S., Motwani, M., (2009). Integration of Artificial Intelligence and Database Management System: An Inventive Approach for Intelligent Databases. Paper presented at 2009 1st International Conference on Computational Intelligence, Communication Systems and Networks, CICSYN '09, 23-25 July 2009 (pp. 35-40).
Nwagboso, C., Georgakis, P., Dyke, D., (2004). Time compression design with decision support for intelligent transport systems deployment. Computers in Industry, 54(3), 291-306.
O’Looney, J., (2001). Sprawl decisions: A simulation and decision support tool for citizens and policy makers. Government Information Quarterly, 18(4), 309-327.
Ochoa, C.E., Capeluto, I.G., (2015). Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings. Renewable Energy, 78, 498-508.
Oikonomou V., Flamos A.; Grafakos S., (2010). Is blending of energy and climate policy instruments always desirable? Energy Policy, 38(8), 4186-4195.
O'Leary, D.E., (2008). Decision Support System Evolution. In Burstein F, Holsapple C (ed.) Handbook on Decision Support Systems. Heidelberg: Springer-Verlag.
Oppio, A., Bottero, M., Ferretti, V., Fratesi, U., Ponzini, D., Pracchi, V., (2015). Giving space to multicriteria analysis for complex cultural heritage systems: The case of the castles in Valle D’Aosta Region, Italy. Journal of Cultural Heritage, 16, 779-789.
Os, van H.W.A., Herber, R., Scholtens, B., (2014). Designing a decision support system for subsurface activities: a meta analysis of the design of a social acceptance motivated decision support system for subsurface activities in the Netherlands. Procedia Environmental Sciences 22, 12-19.
Padgett, D.A., (1993). Technological methods for improving citizen participation in locally unacceptable land use (LULU) decision-making. Computers, Environment and Urban Systems, 17(6), 513-520.
Paris, C., Sidner, C.L., (2007). Introduction to the KBS Special Issue on Intelligent User Interfaces. Knowledge-Based Systems, 20(6), 509-510.
Parsaye, K., Chignell, M., Khoshafian, S., Wong, H., (1989). Intelligent Databases: Object-Oriented, Deductive Hypermedia Technologies. New York: John Wiley & Sons.
Parsaye, K., Chignell, M., Khoshafian, S., Wong, H., (1990). Intelligent Databases. AI Expert, 5(3), 38-47.
Petkov, D., Petkova, O., Andrew, T., Nepal, T., (2007). Mixing multiple criteria decision-making with soft systems thinking techniques for decision support in complex situations. Decision Support Systems, 43(4), 1615-1629.
Pyke, Ch.R., Bierwagen, B.G., Furlow, J., Gamble, J., Johnson, T., Julius, S., West, J., (2007). A decision inventory approach for improving decision support for climate change impact assessment and adaptation. Environmental Science & Policy, 10(7-8), 610-621.
Rahman, S., Odeyinka, H., Perera, S., Bi, Y., (2012). Product-cost modelling approach for the development of a decision support system for optimal roofing material selection. Expert Systems with Applications, 39(8), 6857-6871.
Ruiz, M.C., Fernández, I., (2009). Environmental assessment in construction using a Spatial Decision Support System. Automation in Construction, 18(8), 1135-1143.
Rylatt, M., Gadsden, S., Lomas, K., (2001). GIS-based decision support for solar energy planning in urban environments. Computers, Environment and Urban Systems, 25(6), 579-603.
Salter, C., Ramachandran, G., Emmitt, S., Bouchlaghem, N., (2013). Economic cost of fire: Exploring UK fire incident data to develop a design tool. Fire Safety Journal, 62, Part C, 256-263.
Sardá, R., Avila, C., Mora, J., (2005). A methodological approach to be used in integrated coastal zone management processes: the case of the Catalan Coast (Catalonia, Spain). Estuarine, Coastal and Shelf Science, 62(3), 427-439.
Scarelli, A., Benanchi, M., (2014). Measuring resilience on communalities involved in flooding Ombrone river. Procedia Economics and Finance, 18, 948-958.
Shneiderman, B., (1997). Direct manipulation for comprehensible, predictable and controllable user interfaces. In IUI ’97: Proceedings of the 2nd international conference on Intelligent user interfaces, ACM Press, 33 39, New York, USA.
Shogenova, A., Shogenov, K., Pomeranceva, R., Nulle, I., Neele, F., Hendriks, Ch., (2011). Economic modelling of the capture–transport–sink scenario of industrial CO2 emissions: The Estonian–Latvian cross-border case study. Energy Procedia, 4, 2385-2392.
Single European Electronic Market, (2002). Report of Single European Electronic Market Workshop held at the European Commission in Brussels on October 1st 2002.
Stigt, van R., Driessen, P.P.J., Spit, T.J.M., (2013). A window on urban sustainability: Integration of environmental interests in urban planning through ‘decision windows’. Environmental Impact Assessment Review, 42, 18-24.
Suthar, S., Sajwan, A., (2014). Rapid impact assessment matrix (RIAM) analysis as decision tool to select new site for municipal solid waste disposal: A case study of Dehradun city, India. Sustainable Cities and Society, 13, 12-19.
Tralli, D.M., Blom, R.G., Zlotnicki, V., Donnellan, A., Evans, D.L., (2005). Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards. ISPRS Journal of Photogrammetry and Remote Sensing, 59(4), 185-198.
Uzomah, V., Scholz, M., Almuktar, S., (2014). Rapid expert tool for different professions based on estimated ecosystem variables for retrofitting of drainage systems. Computers, Environment and Urban Systems, 44, 1-14.
Wang, H., Shen, Q., Tang, B., Skitmore, M., (2013). An integrated approach to supporting land-use decisions in site redevelopment for urban renewal in Hong Kong. Habitat International, 38, 70-80.
Whitaker, S.M., Graves, R.J., James, M., McCann, P., (2003). Safety with access scaffolds: Development of a prototype decision aid based on accident analysis. Journal of Safety Research, 34(3), 249-261.
Wismans, L., de Romph, E., Friso, K., Zantema, K., (2014). Real time traffic models, decision support for traffic management. Procedia Environmental Sciences, 22, 220-235.
Witlox, F., Antrop, M., Bogaert, P., De Maeyer, P., Derudder, B., Neutens, T., Van Acker, V., Van de Weghe, N., (2009). Introducing functional classification theory to land use planning by means of decision tables. Decision Support Systems, 46(4), 875-881.
Wöber, K.W., (2000). Standardizing city tourism statistics. Annals of Tourism Research, 27(1), 51-68.
Wood, S.D., Zaientz, J., Beard, J., Frederiksen, R., Lisse, S., Crossman, J. and Huber, M. J. (2004). An Intelligent Interface-Agent Framework for Supervisory Command and Control. Command and Control Research Technology Symposium (CCRTS), San Diego, CA, DoD Command and Control Research Program.
Wu, P.P.-Y., Fookes, C., Pitchforth, J., Mengersen, K., (2015). A framework for model integration and holistic modelling of socio-technical systems. Decision Support Systems, 71, 14-27.
Yang, Y., Tan, W., Li, T., Ruan, D., (2012). Consensus clustering based on constrained self-organizing map and improved Cop-Kmeans ensemble in intelligent decision support systems. Knowledge-Based Systems, 32, 101-115.
Zavadskas, E.K., Kaklauskas, A., Banaitis, A., (2011.) The use of the intelligent library and tutoring system at all stages of a building life cycle. Engineering economics, 1(22), 14-23.
Zavadskas, E.K., Kaklauskas, A., Raslanas, S., Galiniene, B. (2008a). Web-based intelligent DSS for real estate. International journal of environment and pollution, 35(2/3/4), 250-264.
Zavadskas, E.K., Kaklauskas, A., Seniut, M., Dzemyda, G., Ivanikovas, S., Stankevic, V., Simkevicius, C., Jarusevicius, A., (2008b). Web-based biometric mouse intelligent system for analysis of emotional state and labour productivity. In 25th International symposium on automation and robotics in construction, June 26-29, 2008, Vilnius, Lithuania (pp. 429-434). Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Vlasenko, A., (2008c). Web-based VSA analyser decision support system for e-examination. In 8th International conference on fuzzy logic and intelligent technologies in nuclear science “Computational intelligence in decision and control,” World scientific proceedings, series on Computer engineering and information science, September 21-24, 2008, Madrid, Spain, Vol. 1, p. 1153-1158.
Zou, P.X.W., Wang, C.C.X., (2002). A prototype of knowledge-based decision support system for construction cost management. Advances in Building Technology, II, 1755-1762.

Chapter 4

Akçay, A.E., Ertek, G., Büyüközkan, G., (2012). Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework. Expert Systems with Applications, 39(9), 7763-7775.
Anastaselos, D., Oxizidis, S., Manoudis, A., Papadopoulos, A.M., (2016). Environmental performance of energy systems of residential buildings: Towards sustainable communities. Sustainable Cities and Society, 20, 96-108.
Arsene, C.T.C., Gabrys, B., Al-Dabass, D., (2012). Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection. Expert Systems with Applications, 39(18), 13214-13224.
Ashton, K., (2009). That 'Internet of Things' Thing. In the real world, things matter more than ideas. RFID Journal. Available on internet: view?4986>. Accessed 2 Sept 2015.
Baker, N., Standeven, M., (1996). Thermal comfort for free-running buildings. Energy and Buildings, 23(3), 175-182.
Beemer, B.A., Gregg, D.G., (2008). Advisory Systems to Support Decision-making. In Burstein F, Holsapple CW (eds) Handbook on Decision Support Systems 1, International Handbooks Information System. Springer p. 511-528.
Caudana, B., Conti, F., Helcke, G., Pagani, R., (1995). A prototype expert system for large scale energy auditing in buildings. Pattern Recognition, 28(10), 1467-1475.
Cheng, J.C.P., Ma, L.J., (2015). A data-driven study of important climate factors on the achievement of LEED-EB credits. Building and Environment, 90, 232-244.
Dagnino, A., Bo, T., Copetta, A., Fenoglio, S., Oliveri, C., Bencivenga, M., Felli, A., Viarengo, A., (2013). Development and application of an innovative expert decision support system to manage sediments and to assess environmental risk in freshwater ecosystems. Environment International, 60, 171-182.
Dino, I.G., Stouffs, R., (2014). Evaluation of reference modeling for building performance assessment. Automation in Construction, 40, 44-59.
Doheny, J.G., Monaghan, P.F., (1987). IDABES: An expert system for the preliminary stages of conceptual design of building energy systems. Artificial Intelligence in Engineering, 2(2), 54-64.
Egging, R., (2013). Drivers, trends, and uncertainty in long-term price projections for energy management in public buildings. Energy Policy, 62, 617-624.
Ekici, B.B., Aksoy, U.T., (2011). Prediction of building energy needs in early stage of design by using ANFIS. Expert Systems with Applications, 38(5), 5352-5358.
ElAlfi, A.E.E., ElAlami, M.E., (2009). Intelligent Advisory System for Supporting University Managers in Law. International Journal of Computer Science and Information Security, 3(1), 1-6.
Fan, C., Xiao, F., Madsen, H., Wang, D., (2015). Temporal knowledge discovery in big BAS data for building energy management. Energy and Buildings, 109, 75-89.
Ferreira, J., Pinheiro, M.D., de Brito, J., (2013). Refurbishment decision support tools review—Energy and life cycle as key aspects to sustainable refurbishment projects. Energy Policy, 62, 1453-1460.
Friess, P., Woysch, G., Guillemin, P., Gusmeroli, S., Sundmaeker, H., Bassi, A., Eisenhauer, M., Moessner, K., (2012). Chapter 2. Europe’s IoT Strategic Research Agenda 2012. In Smith IG (ed) The Internet of Things. New Horizons. Halifax, 22-118.
Garrido-Baserba, M., Hospido, A., Reif, R., Molinos-Senante, M., Comas, J., Poch, M., (2014). Including the environmental criteria when selecting a wastewater treatment plant. Environmental Modelling & Software, 56, 74-82.
Gartner IT Glossary, (2016). Internet of Things. Available on internet: com/it-glossary/internet-of-things/>. Accessed 2 Feb 2016.
Henze, G.P., Pavlak, G.S., Florita, A.R., Dodier, R.H., Hirsch, A.I., (2015). An energy signal tool for decision support in building energy systems. Applied Energy, 138, 51-70.
Hong, T., Koo, Ch., Kim, H., (2012). A decision support model for improving a multi-family housing complex based on CO2 emission from electricity consumption. Journal of Environmental Management, 112, 67-78.
Hong, T., Koo, Ch., Park, S., (2012). A decision support model for improving a multi-family housing complex based on CO2 emission from gas energy consumption. Building and Environment, 52, 142-151.
Hong, T., Yang, L., Hill, D., Feng, W., (2014). Data and analytics to inform energy retrofit of high performance buildings. Applied Energy, 126, 90-106.
Ibn-Mohammed, T., Greenough, R., Taylor, S., Ozawa-Meida, L., Acquaye, A., (2014). Integrating economic considerations with operational and embodied emissions into a decision support system for the optimal ranking of building retrofit options. Building and Environment, 72, 82-101.
Juan, Y., Gao, P., Wang, J., (2010). A hybrid decision support system for sustainable office building renovation and energy performance improvement. Energy and Buildings, 42(3), 290-297.
Khademolqorani, S., Hamadani, A.Z., (2013). An Adjusted Decision support system through Data mining and Multiple Criteria Decision-making. Procedia - Social and Behavioral Sciences, 73, 388-395.
Kim, H., Stumpf, A., Kim, W., (2011). Analysis of an energy efficient building design through data mining approach. Automation in Construction, 20(1), 37-43.
Kisilevich, S., Keim, D., Rokach, L., (2013). A GIS-based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context. Decision support systems, 54(2), 1119-1133.
Kontopoulos, E., Martinopoulos, G., Lazarou, D., Bassiliades, N., (2016). An ontology-based decision support tool for optimizing domestic solar hot water system selection. Journal of Cleaner Production, 112, 4636-4646.
Kwon, O., Lee, N., Shin, B., (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387-394.
Libelium, (2014). Top 50 Internet of Things Applications. Available on internet: . Accessed 3 Sept 2015.
Louchez, A., (2013). The Internet of things — Machines, businesses, people, everything. ITU news. Available on internet: . Accessed 3 Sept 2015.
Ma, J., Kwak, M., Kim, H.M., (2014). Demand Trend Mining for Predictive Life Cycle Design. Journal of Cleaner Production, 68(1), 189-199.
Maimon, O., Rokach, L., (2010). Introduction to Knowledge Discovery and Data Mining. In: Maimon O, Rokach L (eds) Data Mining and Knowledge Discovery Handbook. Springer, 1-15.
Matlis, J., (2006), Predictive Analytics. Available on internet: computerworld.com/s/article/267042/Predictive_Analytics>. Accessed 6 Feb 2014.
Montes, R., Sánchez, A.M., Villar, P., Herrera, F., (2015). A web tool to support decision-making in the housing market using hesitant fuzzy linguistic term sets. Applied Soft Computing, 35, 949-957.
Nilashi, M., Zakaria, R., Ibrahim, O., Abd. Majid, M.Z., Zin, R.M., Chugtai, M.W., Abidin, N.I.Z., Sahamir, S.R., Yakubu, D.A., (2015). A knowledge-based expert system for assessing the performance level of green buildings. Knowledge-Based Systems, 86, 194-209.
Ochoa, C.E., Capeluto, I.G., (2015). Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings. Renewable Energy, 78, 498-508.
Poch, M., Comas, J., Rodríguez-Roda, I., Sànchez-Marrè, M., Cortés, U., (2004). Designing and building real environmental decision support systems. Environmental Modelling & Software, 19(9), 857-873.
Ribeiro, R., Loureiro, D., Barateiro, J., Smith, J.R., Rebelo, M., Kossieris, P., Gerakopoulou, P., Makropoulos, C., Vieira, P., Mansfield, L., (2015). Framework for Technical Evaluation of Decision Support systems Based on Water Smart Metering: The iWIDGET Case. Procedia Engineering, 119, 1348–1355.
Ricci, F., Rokach, L., Shapira, B., Kantor, P.B., (2011). Recommender Systems Handbook. Springer.
Rodger, J.A., (2014). A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings. Expert Systems with Applications, 41(4), Part 2, 1813-1829.
Ruiz, M.C., Fernández, I., (2009). Environmental assessment in construction using a Spatial Decision Support System. Automation in Construction, 18(8), 1135-1143.
Scholz, M., (2016). Wetlands for Water Pollution Control (Second Edition). Elsevier.
Schultz, C., Bhatt, M., (2013). InSpace3D: A Middleware for Built Environment Data Access and Analytics. Procedia Computer Science, 18, 80-89.
Shrouf, F., Miragliotta, G., (2015). Energy management based on Internet of Things: practices and framework for adoption in production management. Journal of Cleaner Production, 100, 235-246.
Son, H., Kim, C., (2015). Early prediction of the performance of green building projects using pre-project planning variables: data mining approaches. Journal of Cleaner Production, 109, 144-151.
Son, H., Lee, S., Kim, C., (2015). An Empirical Investigation of Key Pre-project Planning Practices Affecting the Cost Performance of Green Building Projects. Procedia Engineering, 118, 37-41.
Souza, G.C., (2014). Supply chain analytics. Business Horizons, 57(5), 595-605.
Turban, E., Aronson, J., (2001). Decision Support and Intelligent systems. Prentice-Hall International, Upper Saddle River, New Jersey.
Vermesan, O., Friess, P., Guillemin, P., Gusmeroli, S., Sundmaeker, H., Bassi, A., Jubert, I. S., Mazura, M., Harrison, M., Eisenhauer, M., Doody, P., (2011). Internet of Things Conceptual Framework. Available on internet: . Accessed 3 Sept 2015.
Wang, H-F., Wu, Ch-T., (2009). A Mathematical Model for Product Selection Strategies in a Recommender System. Expert Systems with Applications, 36(3), 7299-7308.
Wang. H-F., Wu C-T., (2009). A mathematical model for product selection strategies in a recommender system. Expert Systems with Applications, 36(3), 7299-7308.
Woo, J., Menassa, C., (2014). Virtual Retrofit Model for aging commercial buildings in a smart grid environment. Energy and Buildings, 80, 424-435.
Yang, Y., Tan, W., Li, T., Ruan, D., (2012). Consensus clustering based on constrained self-organizing map and improved Cop-Kmeans ensemble in intelligent decision support systems. Knowledge-Based Systems, 32, 101-115.
Yu, Z., Fung, B.C.M., Haghighat, F., Yoshino, H., Morofsky, E., (2011). A systematic procedure to study the influence of occupant behavior on building energy consumption. Energy and Buildings, 43(6), 1409-1417.
Zagonari, F., Rossi, C., (2013). A heterogeneous multi-criteria multi-expert decision-support system for scoring combinations of flood mitigation and recovery options. Environmental Modelling & Software, 49, 152-165.
Zhao, J., Lasternas, B., Lam, K.P., Yun, R., Loftness, V., (2014). Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining. Energy and Buildings, 82, 341-355.

Chapter 5

Ahmed, A., Korres, N.E., Ploennigs, J., Elhadi, H., Menzel, K., (2001). Mining building performance data for energy-efficient operation. Advanced Engineering Informatics, 25(2), 341-354.
American Lung Association, (2005). American Lung Association, State of the Air.
Ashtiani, M.G., Makui, A., Ramezanian, R., (2013). A robust model for a leader–follower competitive facility location problem in a discrete space. Applied Mathematical Modelling, 37(1–2), 62-71.
Atkinson, R.W., Anderson, H.R., Sunyer, J., (2001). Acute effects of particulate air pollution on respiratory admissions: results from the APHEA2 study. American Journal of Respiratory and Critical Care Medicine, 164, 1860-1866.
Barton, J., Plume, J., Parolin, B., (2005). Public participation in a spatial decision support system for public housing. Computers, Environment and Urban Systems, 29(6), 630-652.
Battersby, S., (2011). Are Private Sector Tenants Being Adequately Protected? A study of the Housing Act 2004, Housing Health and Safety Rating System and Local Authority Interventions in England. Available on internet: documents/HHSRS_Are%20tenants%20protected.pdf>. Accessed 10 Oct 2014.
Binbasioglu, M., (1996). Building linear programming models from structural model components. International Transactions in Operational Research, 3(2), 151-168.
Botia, J.A., Villa, A., Palma, J., (2012). Ambient Assisted Living system for in-home monitoring of healthy independent elders. Expert Systems with Applications, 39(9), 8136-8148.
Brandi, A., Gori, S., Nigro, M., Petrelli, M., (2014). Development of an integrated transport-land use model for the activities relocation in urban areas. Transportation Research Procedia, 3, 374-383.
Brauers, W., Kildiene, S., Zavadskas, E., Kaklauskas, A., (2013). The construction sector in twenty European countries during the recession 2008–2009 – country ranking by MULTIMOORA. International Journal of Strategic Property Management, 17(1), 58-78.
Brook, R.D., Franklin, B., Cascio, W., Hong, Y., Howard, G., Lipsett, M., Luepker, R., Mittleman, M., Samet, J., Smith, S.C.Jr., Tager, I., (2004). Expert Panel on Population and Prevention Science of the American Heart Association. Air pollution and cardiovascular disease: a statement for healthcare professionals from the expert panel on population and prevention science of the American Heart Association. Circulation, 109, 2655-2671.
Cao, V., Margni, M., Favis, B.D., Deschênes, L., (2015). Aggregated indicator to assess land use impacts in life cycle assessment (LCA) based on the economic value of ecosystem services. Journal of Cleaner Production, 94(1), 56-66.
Chen, B.X., (2009). If You’re Not Seeing Data, You’re Not Seeing. Wired 25 August 2009.
Chen, M., Gou, X., Du, Y., (2013).The effect of ground altitude on lightning striking distance based on a bi-directional leader model. Atmospheric Research, 125–126, 76-83.
Chlela F., Husaunndee A., Inard C., Riederer P., (2009). A new methodology for the design of low energy buildings. Energy and Buildings, 41, 982-990.
Cho, J., Park, I., Michel, J.W., (2011). How does leadership affect information systems success? The role of transformational leadership. Information & Management, 48(7), 270-277.
Chun, Y.W., Tak, K., (2009). Songgye, a traditional knowledge system for sustainable forest management in Choson Dynasty of Korea. Forest Ecology and Management, 257(10), 2022-2026.
Cinderby, S., Forrester, J., (2005). Facilitating the local governance of air pollution using GIS for participation. Applied Geography, 25(2), 143-158.
Cohen, A.J., Ross Alexander, H., Ostro, B., Pandey, K.D., Kryzanowski, M., Kunzail, N., Gutschmidt, K., Pope, A., Romieu, I., Samet, J.M., Smith, K., (2005). The global burden of disease due to outdoor air pollution. Journal of Toxicology and Environmental Health, 68, Part A, 1-7.
Comi, A., Rosati, L., (2015). CLASS: A DSS for the analysis and the simulation of urban freight systems. Transportation Research Procedia, 5, 132-144.
Cottrill, C.D., Thakuriah, P., (2010). Evaluating pedestrian crashes in areas with high low-income or minority populations. Accident Analysis & Prevention, 42(6), 1718-1728.
Csóka, J., Deszpoth, I., Gáti, A., Maros, Zs., Pap, J., Pap, I., Szabó, S., Mokry, Zs. J., (1993). The technology level quality control model system of house-like components. Control Engineering Practice, 1(2), 412.
Dagdougui, H., Minciardi, R., Ouammi, A., Robba, M., Sacile, R., (2012). Modeling and optimization of a hybrid system for the energy supply of a “Green” building. Energy Conversion and Management, 64, 351-363.
Davidson, M., Roys, M., Nicol, S., Ormandy, D., Ambrose, P., (2010). The real cost of poor housing. ISBN 978-1-84806-115-6.
Day, D.V., Sin, H., (2011). Longitudinal tests of an integrative model of leader development: Charting and understanding developmental trajectories. The Leadership Quarterly, 22(3), 545-560.
Department for Communities and Local Government. 2006. Housing health and safety rating system (HHSRS): guidance for landlords and property-related professionals, p.72.
Dimitrios, N.K., Sakas, D.P., Vlachos, D.S., (2013). The Role of Information Systems in Creating Strategic Leadership Model. Procedia - Social and Behavioral Sciences, 73, 285-293.
Donaldson-Selby, G., Hill, T., Korrubel, J., (2007). Photorealistic visualisation of urban greening in a low-cost high-density housing settlement, Durban, South Africa. Urban Forestry & Urban Greening, 6(1), 3-14.
Durmisevic, S., Sariyildiz, S., (2001). A systematic quality assessment of underground spaces – public transport stations. Cities, 18(1), 13-23.
English Housing Survey, (2010). Homes Report 2010. Available on internet: www.gov.uk/government/publications/english-housing-survey-homes-report-2010>. Accessed 10 Oct 2014.
Environmental Management Centre, (2006). Environmental Management Centre, A comparison of ambient air quality standards applied worldwide.
Fancello, G., Carta, M., Fadda, P., (2015). A decision support system for road safety analysis. Transportation Research Procedia, 5, 201-210.
Fazio, P., Zmeureanu, R., Kowalski, A., (1989). Select-HVAC: knowledge-based system as an advisor to configure HVAC systems. Computer-Aided Design, 21(2), 79-86.
Graham, M., Zook, M., Boulton, A., (2012). Augmented reality in urban places: contested content and the duplicity of code. Transactions of the Institute of British Geographers, DOI: 10.1111/j.1475-5661.2012.00539.x 2012.
Grossman, C.M., Nussbaum, R.H., Nussbaum, F.D., (2003). Cancers among residents downwind of the Hanford, Washington, plutonium production site. Archives of Environmental & Occupational Health, 58, 267-274.
Gudiene, N., Banaitis, A., Banaitiene N., (2013). Evaluation of critical success factors for construction projects – an empirical study in Lithuania. International Journal of Strategic Property Management, 17(1), 21-31.
Hashim, A., Dawal, S.Z., (2012). Kano Model and QFD integration approach for Ergonomic Design Improvement. Procedia - Social and Behavioral Sciences, 57, 22-32.
Hayashi, M., Enai, M., Hirokawa, Y., (2001). Annual characteristics of ventilation and indoor air quality in detached houses using a simulation method with Japanese daily schedule model. Building and Environment, 36(6), 721-731.
HHSRS worked examples, (2007a). Bristol CC examples.
HHSRS worked examples, (2007b). CLG Worked examples.
HHSRS worked examples, (2007c). IDeA Worked examples.
Howarth, P., Reid, A., (2000). Sunbury Healthy House. Mitchell Beazley, 118-123.
Hubbell, B.J., Hallberg, A., McCubbin, D.R., Post, E., (2005). Health-related benefits of attaining the 8-hr ozone standard. Environmental Health Perspectives, 113, 73-82.
HUSSAR, (2013). HoUsing health and Safety decision Support system with augmented reality. Available on internet: sistemid=517. Accessed 10 Oct 2014.
Jokubauskiene, S., (2013). The complex analysis model and the system of a leader’s life cycle process in an organization. Informacijos mokslai, 65, 7-23.
Juan, Y.-K., Gao, P., Wang, J., (2010). A hybrid decision support system for sustainable office building renovation and energy performance improvement. Energy and Buildings, 42(3), 290-297.
Juan, Y.-K., Kim, J.H., Roper, K., Castro-Lacouture, D., (2009). GA-based decision support system for housing condition assessment and refurbishment strategies. Automation in Construction, 18(4), 394-401.
Kabak, M., Köse, E., Kırılmaz, O., Burmaoğlu, S., (2014). A fuzzy multi-criteria decision-making approach to assess building energy performance. Energy and Buildings, 72, 382-389.
Kaklauskas, A., (1999). Multiple Criteria Decision Support of Building Life Cycle. Research Report presented for Habilitation. Vilnius: Technika.
Kaklauskas, A., (2015). Biometric and Intelligent Decision-making Support. Series: Intelligent Systems Reference Library 81. Springer-Verlag, Berlin, p. 228.
Kaklauskas, A., Daniūnas, A., Amaratunga, D., Urbonas, V., Lill, I., Gudauskas, R., D’Amato, M., Trinkūnas, V., Jackutė, I., (2012). Life cycle process model of a market-oriented and student centered higher education. International Journal of Strategic Property Management, 16(4), 414-430.
Kaklauskas, A., Kelpsiene, L., Zavadskas, E.K., Bardauskiene, D., Kaklauskas, G., Urbonas, M., Sorakas, V., (2011). Crisis management in construction and real estate: conceptual model at the micro-, meso-, macro-levels. Land Use Policy, 28, 280-293.
Kaklauskas, A., Krutinis, M., Tupenaite, L., Naimaviciene, J., (2006b). Automated Valuation Models and Knowledge-Based Decision Support in Real Estate Valuation. Proceedings of the 6th International Conference „Reliability and Statistics in Transportation and Communication,” October 25-28, Riga, Latvia, 349-361.
Kaklauskas, A., Pruskus, V., (2005). The uses of Internet in the ethical multiple criteria decision-making. Problemos, 68, 109-127.
Kaklauskas, A., Rutė, J., Gudauskas, R., Banaitis, A., (2011). Integrated model and system for passive houses multiple criteria analysis. International Journal of Strategic Property Management, 15(1), 74-90.
Kaklauskas, A., Zavadskas, E.K., (2002). Internetinė sprendimų parama. Vilnius: Technika.
Kaklauskas, A., Zavadskas, E.K., (2007). Decision support system for innovation with a special emphasis on pollution. International Journal of Environment and Pollution, 30(3-4), 518-528.
Kaklauskas, A., Zavadskas, E.K., Budzevičienė, R., (2009). Web-based model of multiple criteria ethical decision-making for ethical behavious of students. Journal of Business Economics and Management, 10(1), 77-90.
Kaklauskas, A., Zavadskas, E.K., Ditkevičius, R., (2006). An Intelligent Tutoring System for Construction and Real Estate. In: Luo, Y. (ed.) CDVE 2006. LNCS 4101, 174-181.
Kaklauskas, A., Zavadskas, E.K., Naimaviciene, J., Krutinis, M., Plakys, V., Venskus, D., (2010b). Model for a complex analysis of intelligent built environment. Automation in Construction, 19(3), 326-340.
Kaklauskas, A., Zavadskas, E.K., Pruskus, V., Vlasenko, A., Bartkiene, L., Paliskiene, R., Zemeckyte, L., Gerstein, V., Dzemyda, G., Tamulevicius, G., (2011). Recommended biometric stress management system. Expert Systems with Applications, 38(11), 14011-14025.
Kaklauskas, A., Zavadskas, E.K., Pruskus, V., Vlasenko, A., Seniut, M., Kaklauskas, G., Matuliauskaite, A., Gribniak, V., (2010a). Biometric and intelligent self-assessment of student progress system. Computers & Education, 55(2), 821-833.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., (2005a). Multivariant design and multiple criteria analysis of building refurbishments. Energy and Buildings, 37(4), 361-372.
Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevičius, R., Komka, A., Malinauskas, P., (2006). Selection of low – e windows in retrofit of public buildings by applying multiple criteria method COPRAS: a Lithuanian case. Energy and Buildings, 38(5), 454-462.
Kaklauskas, A., Zavadskas, E.K., Trinkunas, V., (2007). A multiple criteria decision support on-line system for construction. Engineering Applications of Artificial Intelligence, 20(2), 163-175.
Kamruzzaman, Md., Baker, D., (2013). Will the application of spatial multi criteria evaluation technique enhance the quality of decision-making to resolve boundary conflicts in the Philippines? Land Use Policy, 34, 11-26.
Kim, H.Y., Lee, H.K., (2014). Enhanced validity and reliability of spatial decision support systems (SDSS) for sustainable transportation decision-making. Applied Geography, 51, 65-71.
Kim, H.Y., Wunneburger, D., Neuman, M., Young, S., (2014). An optimizing high-speed rail routes using a spatial decision support system (SDSS): the Texas Urban Triangle (TUT) case. Journal of Transport Geography, 34, 194-201.
Kim, S., (2012). Multi-leader multi-follower Stackelberg model for cognitive radio spectrum sharing scheme. Computer Networks, 56(17), 3682-3692.
Koga, M., Izumi, Sh., Matsubara, Sh., Inada, Y., Gaidar, D., (2014). Proposal for welfare town planning method and experimental development of support system for persons with disabilities. Procedia Environmental Sciences, 22, 70-77.
Körner, O., Van Straten, G., (2008). Decision support for dynamic greenhouse climate control strategies. Computers and Electronics in Agriculture, 60(1), 18-30.
Laporte, P.B., Elliott, E., Banta, J., (2003). Prescriptions for a Healthy House: A Practical Guide for Architects, Builders & Homeowners. Baker-Laporte & Associates.
Lehner, F., (1992). Expert systems for organizational and managerial tasks. Information & Management, 23(1), 31-41.
Lepkova, N., Kaklauskas, A., Zavadskas, E.K., (2008). Modelling of facilities management alternatives. International Journal of Environment and Pollution, 35(2-4), 185-204.
Lim, L.-H., Raman, K.S., Wei, K.-K., (1994). Interacting effects of GDSS and leadership. Decision Support Systems, 12(3), 199-211.
Liu, Sh.-C., Tan, D.-L., Liu, G.-J., (2007). Robust Leader-follower Formation Control of Mobile Robots Based on a Second Order Kinematics Model. Acta Automatica Sinica, 33(9), 947-955.
Living in Wales Survey, (2006). Available on internet: aboutresearch/social/ocsropage/living-wales/;jsessionid=1mX2NT1dhhzgXvNbVkCp
H80DYQ5j0kKsp0kGTpMSzLXS82phGddw!-1726265782?lang=en>. Accessed 10 Oct 2014.
Luisetti, T., Turner, R.K., Bateman, I.J., Morse-Jones, S., Adams, Ch., Fonseca, L., (2011). Coastal and marine ecosystem services valuation for policy and management: Managed realignment case studies in England. Ocean & Coastal Management, 54(3), 212-224.
Mahdavinejad, M., Mansoorim, S., (2012). Architectural Design Criteria of Socio-Behavioral Approach toward Healthy Model. Procedia - Social and Behavioral Sciences, 35, 475-482.
Manley, M., Kim, Y.S., (2012). Modeling emergency evacuation of individuals with disabilities (exitus): An agent-based public decision support system. Expert Systems with Applications, 39(9), 8300-8311.
Markiz, N., Jrade, A., (2014). Integrating a fuzzy-logic decision support system with bridge information modelling and cost estimation at conceptual design stage of concrete box-girder bridges. International Journal of Sustainable Built Environment, 3(1), 135-152.
Matsumoto, H., Toyoda, S., (1994). A knowledge-based system for condensation diagnostics in houses. Energy and Buildings, 21(3), 259-266.
Mckenna, B., Rooney, D., Boal, K.B., (2009). Wisdom principles as a meta-theoretical basis for evaluating leadership. The Leadership Quarterly, 20(2), 177-190.
Mendonça, D., (2007). Decision support for improvisation in response to extreme events: Learning from the response to the 2001 World Trade Center attack. Decision Support Systems, 43(3), 952-967.
Miah, S.J., Kerr, D., Gammack, J., Cowan, T., (2008). A generic design environment for the rural industry knowledge acquisition. Knowledge-Based Systems, 21(8), 892-899.
Michele, Di S., Daniela, L., (2011). Decision-support tools for municipal infrastructure maintenance management. Procedia Computer Science, 3, 36-41.
Moges, S.A., Katambara, Z., Bashar, K., (2003). Decision support system for estimation of potential evapo-transpiration in Pangani Basin. Physics and Chemistry of the Earth Parts A/B/C, 28(20-27), 927-934.
Moon, T.-H., Heo, S.-Y., Lee, S.-H., (2014). Ubiquitous Crime Prevention System (UCPS) for a safer city. Procedia Environmental Sciences, 22, 288-301.
Nwagboso, C., Georgakis, P., Dyke, D., (2004). Time compression design with decision support for intelligent transport systems deployment. Computers in Industry, 54(3), 291-306.
O’Looney, J., (2001). Sprawl decisions: A simulation and decision support tool for citizens and policy makers. Government Information Quarterly, 18(4), 309-327.
Ochoa, C.E., Capeluto, I.G., (2015). Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings. Renewable Energy, 78, 498-508.
Office of the Deputy Prime Minister, (2006). Housing Health and Safety Rating System. Operating Guidance, Office of the Deputy Prime Minister: London. Available on internet: guidance.pdf>. Accessed 4 Mar 2013.
Oikonomou V., Flamos A., Grafakos S., (2010). Is blending of energy and climate policy instruments always desirable? Energy Policy, 38(8), 4186-4195.
Oliveira, M.A. De, Possamai, O., Dalla Valentina, L.V.O., Flesch, C.A., (2012). Applying Bayesian networks to performance forecast of innovation projects: A case study of transformational leadership influence in organizations oriented by projects. Expert Systems with Applications, 39(5), 5061-5070.
Operating Guidance - Housing Act 2004. (2006). Guidance about inspections and assessment of hazards given under Section 9.
Oppio, A., Bottero, M., Ferretti, V., Fratesi, U., Ponzini, D., Pracchi, V., (2015). Giving space to multicriteria analysis for complex cultural heritage systems: The case of the castles in Valle D’Aosta Region, Italy. Journal of Cultural Heritage, 16, 779-789.
Padgett, D.A., (1993). Technological methods for improving citizen participation in locally unacceptable land use (LULU) decision-making. Computers, Environment and Urban Systems, 17(6), 513-520.
Parker, D.S., (2009). Very low energy homes in the United States: perspectives on performance from measured data. Energy and Buildings, 41(5), 512-520.
Peterlin, M., Kontic, B., Kross, B.C., (2005). Public perception of environmental pressures within the Slovene coastal zone. Ocean & Coastal Management, 48(2), 189-204.
Petkov, D., Petkova, O., Andrew, T., Nepal, T., (2007). Mixing multiple criteria decision-making with soft systems thinking techniques for decision support in complex situations. Decision Support Systems, 43(4), 1615-1629.
Pummakarnchana, O., Tripathi, N., Dutta, J., (2005). Air pollution monitoring and GIS modeling: a new use of nanotechnology based solid state gas sensors. Science and Technology of Advanced Materials, 6(3-4), 251-255.
Pyke, Ch.R., Bierwagen, B.G., Furlow, J., Gamble, J., Johnson, T., Julius, S., West, J., (2007). A decision inventory approach for improving decision support for climate change impact assessment and adaptation. Environmental Science & Policy, 10(7-8), 610-621.
Rahman, S., Odeyinka, H., Perera, S., Bi, Y., (2012). Product-cost modelling approach for the development of a decision support system for optimal roofing material selection. Expert Systems with Applications, 39(8), 6857-6871.
Rao, M., Dong, R., Mahalec, V., (1994). Intelligent system for safe process startup. Engineering Applications of Artificial Intelligence, 7(4), 349-360.
Rees, J., Koehler, G.J., (2000). Leadership and group search in group decision support systems. Decision Support Systems, 30(1), 73-82.
Rice, R., (2014). The Augmented Reality Hype Cycle. Available on internet: . Accessed 4 Feb 2014.
Ruiz, M.C., Fernández, I., (2009). Environmental assessment in construction using a Spatial Decision Support System. Automation in Construction, 18(8), 1135-1143.
Rylatt, M., Gadsden, S., Lomas, K., (2001). GIS-based decision support for solar energy planning in urban environments. Computers, Environment and Urban Systems, 25(6), 579-603.
Salter, C., Ramachandran, G., Emmitt, S., Bouchlaghem, N., (2013). Economic cost of fire: Exploring UK fire incident data to develop a design tool. Fire Safety Journal, 62, Part C, 256-263.
Sara, (2010). World’s First Augmented Reality Architecture Application. Available on internet: . Accessed 4 Feb 2014.
Sardá, R., Avila, C., Mora, J., (2005). A methodological approach to be used in integrated coastal zone management processes: the case of the Catalan Coast (Catalonia, Spain). Estuarine, Coastal and Shelf Science, 62(3), 427-439.
Scarelli, A., Benanchi, M., (2014). Measuring resilience on communalities involved in flooding Ombrone river. Procedia Economics and Finance, 18, 948-958.
Schoenwetter, W.F., (1997). Building a Healthy House. Annals of Allergy, Asthma & Immunology, 79(1), 1-4.
Scottish House Condition Survey, (2011). Available on internet: gov.uk/Topics/Statistics/SHCS>. Accessed 4 Feb 2014.
Seah, M., Hsieh, M.H., Weng, P.-D., (2010). A case analysis of Savecom: The role of indigenous leadership in implementing a business intelligence system. International Journal of Information Management, 30(4), 368-373.
Sense, A.J., (2003). A model of the politics of project leader learning. International Journal of Project Management, 21(2), 107-114.
Shogenova, A., Shogenov, K., Pomeranceva, R., Nulle, I., Neele, F., Hendriks, Ch., (2011). Economic modelling of the capture–transport–sink scenario of industrial CO2 emissions: The Estonian–Latvian cross-border case study. Energy Procedia, 4, 2385-2392.
Six, F.E., de Bakker, F.G.A., Huberts, L.W.J.C., (2007). Judging a Corporate Leader’s Integrity: An Illustrated Three-Component Model. European Management Journal, 25(3), 185-194.
Sliogeriene, J., Kaklauskas, A., Streimikiene, D., Bianchi, M., (2012). Multiple criteria decision support system for the assessment of energy generation technologies considering the dimension of values. International Journal of Strategic Property Management, 16(4), 370-391.
Sliogeriene, J., Kaklauskas, A., Zavadskas, E. K., Bivainis, J., Seniut, M., (2009). Environment factors of energy companies and their effect on value: analysis model and applied method. Technological and Economic Development of Economy, 15(3), 490-521.
Soyguder, S., Alli, H., (2009). An expert system for the humidity and temperature control in HVAC systems using ANFIS and optimization with Fuzzy Modeling Approach. Energy and Buildings, 41(8), 814-822.
Steuer, J., (1993). Defining Virtual Reality: Dimensions Determining Telepresence. Department of Communication, Stanford University.
Stigt, van R., Driessen, P.P.J., Spit, T.J.M., (2013). A window on urban sustainability: Integration of environmental interests in urban planning through ‘decision windows’. Environmental Impact Assessment Review, 42, 18-24.
Suthar, S., Sajwan, A., (2014). Rapid impact assessment matrix (RIAM) analysis as decision tool to select new site for municipal solid waste disposal: A case study of Dehradun city, India. Sustainable Cities and Society, 13, 12-19.
Tampieri, L., Bianchi, M., (2013). Simulated Management in the start up of new Public Organizations. Journal of US-China Public Administration, 10(5), 475-487.
Tavakoli, M.R.B., Vahidi, B., (2010). Shielding failure rate calculation by means of downward and upward lightning leader movement models: Effect of environmental conditions. Journal of Electrostatics, 68(3), 275-283.
Thiers, S., Peuportier, B., (2008). Thermal and environmental assessment of a passive building equipped with an earth-to-air heat exchanger in France. Solar Energy, 82(9), 820-831.
Tralli, D.M., Blom, R.G., Zlotnicki, V., Donnellan, A., Evans, D.L., (2005). Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards. ISPRS Journal of Photogrammetry and Remote Sensing, 59(4), 185-198.
Tupenaite, L., Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Seniut, M., (2010). Multiple criteria assessment of alternatives for built and human environment renovation. Journal of Civil Engineering and Management, 16(2), 257-266.
Uhl-Bien, M., Marion, R., (2009). Complexity leadership in bureaucratic forms of organizing: A meso model. The Leadership Quarterly, 20(4), 631-650.
Urbanavičienė, V., Kaklauskas, A., Zavadskas, E.K., Seniut, M., (2009). The web-based real estate multiple criteria negotiation decision support system: a new generation of decision support systems. International Journal of Strategic Property Management, 13(3), 267-286.
US Environmental Protection Agency (EPA), (1987). Revisions to the National Air Ambient Air Quality Standards for particulate matter. Federal Register 52, 24634–24669.
Uzomah, V., Scholz, M., Almuktar, S., (2014). Rapid expert tool for different professions based on estimated ecosystem variables for retrofitting of drainage systems. Computers, Environment and Urban Systems, 44, 1-14.
Van Os, H.W.A., Herber, R., Scholtens, B., (2014). Designing a Decision Support System for Subsurface Activities: A Meta Analysis of the Design of a Social Acceptance Motivated Decision Support System for Subsurface Activities in the Netherlands. Procedia Environmental Sciences, 22, 12-19.
Vargas, M., Torres, H., (2008). On the development of a lightning leader model for tortuous or branched channels – Part I: Model description. Journal of Electrostatics, 66(9-10), 82-488.
Wales - Housing Demolitions and Hazards 2011-12, (2011). Available on internet: . Accessed 9 Feb 2016.
Wang, H., Shen, Q., Tang, B., Skitmore, M., (2013). An integrated approach to supporting land-use decisions in site redevelopment for urban renewal in Hong Kong. Habitat International, 38, 70-80.
Wang, L., Gwilliam, J., (2009). Case study of zero energy house design in UK. Energy and Buildings, 41, 1215-1222.
Webb, D., (2013). Mobile devices are more than handsets. Available on internet: . Accessed 8 Feb 2016.
Whitaker, S.M., Graves, R.J., James, M., McCann, P., (2003). Safety with access scaffolds: Development of a prototype decision aid based on accident analysis. Journal of Safety Research, 34(3), 249-261.
Wiggers, K., (2012). Real Estate Agent Tools. Available on internet: . Accessed 14 Apr 2015.
Wismans, L., de Romph, E., Friso, K., Zantema, K., (2014). Real time traffic models, decision support for traffic management. Procedia Environmental Sciences, 22, 220-235.
Witlox, F., Antrop, M., Bogaert, P., De Maeyer, P., Derudder, B., Neutens, T., Van Acker, V., Van de Weghe, N., (2009). Introducing functional classification theory to land use planning by means of decision tables. Decision Support Systems, 46(4), 875-881.
Wu, P.P.-Y., Fookes, C., Pitchforth, J., Mengersen, K., (2015). A framework for model integration and holistic modelling of socio-technical systems. Decision Support Systems, 71, 14-27.
Yakubu, G.S., (1996). The reality of living in passive solar homes: a user-experience study. Renewable Energy, 8, 177-181.
Youssef, C.M., Luthans, F., (2012). Positive global leadership. Journal of World Business, 47(4), 539-547.
Zavadskas, E.K., Kaklauskas, A., (1988a). Die Auswahl von Fundamenten für Dreigelenkrahmen einschiffiger Landwirtschaftsbauten nach mehreren Zielkriterien, in Wissenschaftliche Zeitschrift der Hochschule für Architektur und Bauwesen Weimar, Jg. 34, H. 3, 179-181.
Zavadskas, E.K., Kaklauskas, A., (1988b). Išteklių taupymas statybos-eksploatacijos stadijose: analitinė apžvalga. Vilnius: LIMTI, p. 55.
Zavadskas, E.K., Kaklauskas, A., (1990a). Išteklius taupančių pastatų variantų projektavimas ir daugiatikslis kompleksinis įvertinimas. E. Statybinės konstrukcijos, 17, 62-67.
Zavadskas, E.K., Kaklauskas, A., (1990b). Projektų daugiatikslinis kompleksinis įvertinimas ir sutartinės kainos nustatymas. Statybinės konstrukcijos, 17, 74-79.
Zavadskas, E.K., Kaklauskas, A., (1991). Automated multivariant design of buildings, multi-purpose comprehensive evaluation and selection of the most efficient versions. Denmark: Aalborg Universitetscenter.
Zavadskas, E.K., Kaklauskas, A., (1996). Pastatų sistemotechninis įvertinimas. Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Andruskevicius, A., Vainiunas, P., Banaitiene, N., (2005). Model for an integrated analysis of a building's life cycle, in Cooperative Design, Visualization, And Engineering. Proceedings Book Series: Lecture Notes in Computer Science, 3675, 218-226.
Zavadskas, E.K., Kaklauskas, A., Banaitiene, N., (2001). Pastato gyvavimo proceso daugiakriterinė analizė. Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Bejder, E., (1992a). Multiple criteria analysis of projects. Aalborg University. Aalborg: Aalborg Universitetscenter.
Zavadskas, E.K., Kaklauskas, A., Bejder, E., Motekūnas, T., (1992b). Pastato statybos ir eksploatacijos daugiatikslė selektonovacija. Vilnius: Technika.
Zavadskas, E.K., Kaklauskas, A., Vainiunas, A., Dubakiene, R., Gulbinas, A., Krutinis, M., Cyras, P., Rimkus, L., (2006). A building’s refurbishment knowledge and device based decision support system. Lecture Notes in Computer Science, 4101, 287-294.
Zavadskas, E.K., Kaplinski, O., Kaklauskas, A., Brzeziński J., (1995). Expert System in Construction Industry. Trends, Potential and Applications. Vilnius: Technika.
Zavadskas, E.K., Peldschus, F., Kaklauskas, A., (1994.) Multiple criteria evaluation of projects in construction. Vilnius Technical University. Institute of Technological and Economic Development. Vilnius: Technika.
Zavadskas, E.K., Simanauskas, L., Kaklauskas, A., (1999). Sprendimų paramos sistemos statyboje. Vilnius: Technika.
Zou, P. X. W., Wang, C. C. X., (2002). A prototype of knowledge-based decision support system for construction cost management. Advances in Building Technology, II, 1755-1762.
Завадскас, Э. К., Каклаускас, А., (1990c). Опыт проектных и строительных организаций объединения Литагропромстрой по применению методики комплексной оценки и выбора ресурсосберегающих решений при организации поточного строительства агропромышленных объектов. Передовой научно-производственный опыт, рекомендуемый для внедрения в строительстве объектов агропром. комплекса: научно-технический информационный сборник / ЦНИИЭП Сельстрой, Вып. 12, c. 18-20.

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