Applications of Fuzzy Theory in Applied Sciences and Computer Applications

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Animesh Kumar Sharma, PhD – Assistant Professor, Department of Mathematics, The ICFAI University Raipur, Raipur, India

Series: Theoretical and Applied Mathematics
BISAC: COM062000; MAT029000
DOI: https://doi.org/10.52305/LWCM6152

In the realm of computational intelligence, the age-old adage, “not everything is black and white,” has never been more pertinent. Through the lens of fuzzy logic and neutrosophic systems, Applications of Fuzzy Theory in Applied Sciences and Computer Applications unravels the complex tapestry of uncertainty, imprecision, and subjectivity in real-world scenarios. This book stands as a testament to the power of fuzzy systems in bridging the gap between theoretical concepts and their pragmatic applications. Chapter one introduces readers to the ever-evolving realm of biometrics, specifically focusing on face recognition. The complexities of human features demand a system that can navigate the nuances, and fuzzy pattern recognition presents a promising solution. Diving deeper into the world of health and demography in chapter two, the authors explore the potential of fuzzy inference systems in mortality studies. By incorporating a degree of uncertainty, these systems offer a more holistic view of mortality trends and predictions. From biometrics and health, we shift our focus to the mathematical underpinnings of neutrosophic logic in chapter three. Here, the application of neutrosophy over digraphs is meticulously dissected, offering readers an intricate understanding of this unique conjunction. The subsequent chapters delve into various other fields, from reliability analysis and higher education to fisheries and supply chain management, demonstrating the pervasive influence of fuzzy and neutrosophic systems in diverse domains. Chapter twelve concludes this enlightening journey with a life-altering application — the utilization of fuzzy logic in the detection and classification of brain tumors. Through this chapter, the profound impact of fuzzy systems on healthcare and diagnostics is underscored.

This promises a transformative journey, ensuring that by the end, readers will look at uncertainty not as a challenge, but as an opportunity to explore, innovate, and excel. Whether you’re a seasoned researcher, a professional seeking innovative solutions, or a curious student, this book has insights to offer to everyone. Welcome to a world where the lines are blurred, but the visions are clear.

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Table of Contents

Preface

Chapter 1. Fuzzy Pattern Recognition for Face Recognition in Biometrics
Ashish Kumbhare¹, Shashank Mane², Naveen Kumar Vaishnav¹, and Santosh Kumar Verma³
¹Faculty of Science and Technology, The ICFAI University, Raipur, CG, India
²Department of CSE, Shri Balaji Institute of Technology, Betul, MP, India
³Department of CSE, Yuline University, China

Chapter 2.
Application of Fuzzy Inference System in Mortality Studies: A Review
Debajyoti Bora¹, Manash Pratim Barman², and Bornali Dutta³
¹Department of Statistics, PDUAM, Eraligool, Karimganj, Assam, India
²Department of Statistics, Dibrugarh University, Dibrugarh, Assam, India
³Department of Statistics, Gargaon College, Gargaon, Assam, India

Chapter 3. Application of Neutrosophic Over Digraphs
R. Narmada Devi¹, J. Shakthipriya², Kala Raja Mohan¹, and Nagadevi Bala Nagaram¹
¹Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
²PG Department of Mathematics, Women’s Christian College, University of Madras,
Chennai, India

Chapter 4. Reliability Analysis of a Two-Unit Repairable System Using Fuzzy Linguistic Approach
Shakuntla Singla, Diksha Mangla, Pooja Dhawan, and Gurdas Ram
MMEC, MM(DU), Mullana, Ambala, India

Chapter 5. Application of Fuzzy Analytical Hierarchy Process in Academic Institution or University Selection for Higher Studies
Naveen Kumar Vaishnav¹, Ashish Kumbhare¹, Animesh Kumar Sharma¹, and Sanjeev Karmakar²
¹Faculty of Science and Technology, The ICFAI University, Raipur, India
²Department of Computer Applications, Bhilai Institute of Technology, Durg, India

Chapter 6. Impact behind Students Choosing Fisheries Course Using Neutrosophic Analysis
Kala Raja Mohan¹, Nagadevi Bala Nagaram¹, R. Narmada Devi¹, T. Bharathi², and Suresh Rasappan³
¹Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India
²Department of Mathematics, Loyola College, Nungambakkam, Chennai, Tamil Nadu, India
³Information Technology Department, University of Technology and Applied Sciences, Ibri, Sultanate of Oman

Chapter 7. Industrial Internet of Things Sensor Location Using Intuitionistic Fuzzy Methods
M. Rajeshwari¹ and R. Murugesan²
¹Department of Mathematics, School of Engineering, Presidency University, Bangalore, India
²Department of Mathematics, REVA University, Bangalore, India

Chapter 8. Fuzzy Optimization for Decision-Making in Supply Chain Management
Animesh Kumar Sharma
Department of Mathematics, The ICFAI University, Raipur, India

Chapter 9.
Overview of Fuzzy Logic in Wireless Sensor Networks
Palak Keshwani
Faculty of Science and Technology, The ICFAI University, Raipur, India

Chapter 10. Inventory Management Using Fuzzy Random Variables
Julia T. Thomas and Mahesh Kumar
Department of Mathematics, National Institute of Technology, Kerala, India

Chapter 11. A Study on the Decision-Making Factors of Challenges Facing Working Women by Using Fuzzy Rough Set Topology
Nagadevi Bala Nagaram, R. Narmada Devi, and Kala Raja Mohan
Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India

Chapter 12.
Fuzzy Logic Based System for Brain Tumor Detection and Classification
N. V. S. L. Narasimham and K. Keshav Kumar
Department of Humanities and Mathematics, G. Narayanamma Institute of Technology and Science (for Women), Hyderabad, India

Index


Editor’s ORCID iD

Animesh Kumar Sharma: 0000-0002-7814-7462

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