Table of Contents
Table of Contents
Preface
Chapter 1. Fuzzy and Crisp Regression Analysis between Sediment Transport Rates and Stream Discharge in the Case of Two Basins in Northeastern Greece
(M. Spiliotis and V. Hrissanthou, Department of Civil Engineering, Democritus University of Thrace, Kimmeria Campus, Xanthi, Greece)
Chapter 2. The Best Fit Model for the Relationships of Heavy Metals between Selected Parts of Telescopium telescopium and Habitat Sediments Using Five Models of Regressions
(Chee Kong Yap, Noorhaidah Ariffin, Wan Hee Cheng and Shamarina Shohaimi, Department of Biology, Faculty of Science, Universiti Putra Malaysia, UPM, Serdang, Selangor, Malaysia, and others)
Chapter 3. Regression Analysis, Introduction, Theory and Applications in Telecommunications
(Y. Beeharry, T.P. Fowdur and K.M.S. Soyjaudah, Department of Electrical and Electronic Engineering, University of Mauritius, Réduit, Mauritius)
Chapter 4. From Global to Local: GWR as an Exploratory Tool for Spatial Phenomena
(K. Lykostratis and M. Giannopoulou, Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece)
Chapter 5. Fuzzy Regression Using Triangular Fuzzy Number Coefficients: Similarities of the Calibrated Fuzzy Models
(George N. Botzoris, Marina A. Syrpi and Basil K. Papadopoulos, Democritus University of Thrace, Department of Civil Engineering, Xanthi, Greece, and others)
Chapter 6. Models of Fuzzy Linear Regression with Trapezoidal Membership Functions: Application in Hydrology
(Christos Tzimopoulos, Kyriakos Papadopoulos and Basil K. Papadopoulos, Aristotle University of Thessaloniki, School of Engineering, Thessaloniki, Greece, and others)
Chapter 7. Strength Determination of Fiber-Reinforced Soils Based on Multivariable Ordinary and Fuzzy Linear Regression Analyses
(E. Evangelou, I. Markou, C. Konstantinidou and B. Papadopoulos, Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece)
Chapter 8. Eutrophication in a Mediterranean Lake Using Fuzzy Linear Regression Method with Fuzzy Data
(G. Ellina, I. Kagalou, G. Papaschinopoulos and B.K. Papadopoulos, School of Engineering, Democritus University of Thrace, Xanthi, Greece)
Index
Reviews
“This book is an excellent contribution, addressing both graduate students and researchers in getting an advanced insight into conventional and fuzzy regression techniques. It is an edited volume of eight chapters, which present both advanced theory and applications in a wide range of actual and practical engineering and other problems; these include: stream sediment transport, heavy metals in mollusks tissue, telecommunications, spatial regression applications, rainfall records from gauge stations, fiber soil reinforcement, and lake chlorophyll. The book is general, and can address audiences worldwide. Before using it, the reader is expected to have the basic knowledge on fuzzy theory and fuzzy techniques. Each chapter contains a significant number of references for the interested reader to further deepen in the subject. All chapters are written in good English, in a didactic way, which is the main strength of the book. The two authors are well-known academic professors and researchers, with extensive previous publishing and professional experience. In conclusion, the book is an excellent contribution to fuzzy theory, and researchers interested on the subject should have it on their bookshelf.” – Vassilios A. Tsihrintzis, Professor of Ecological Engineering, School of Rural and Surveying Engineering, National Technical University of Athens
Keywords: Conventional (crisp) regression; fuzzy regression; engineering applications.
This book was written for Young researchers and postgraduate students of sciences and engineering