The text provides a comprehensive exploration of fuzzy applications across various domains, including decision-making, transportation problems, infrastructure engineering, inventory management, pattern recognition, Plithogenic sets, hyperbolic fuzzy sets, sustainable systems, reliability, and risk assessment.
- Explores the implementation of interval-valued fuzzy logic, three-way decision-making techniques, and the HyFS-based aggregation approach for multi-attribute decision-making (MADM) problems.
- Covers advanced computing techniques and algorithms such as grey-wolf optimization and cuckoo search for fuzzy optimization.
- Discusses various types of fuzzy sets, including intuitionistic fuzzy sets, picture fuzzy sets, and neutrosophic fuzzy sets, for multi-criteria decision-making techniques.
- Highlights the application of techniques like the universal generating function and different types of fuzzy numbers for reliability estimation in engineering systems.
- Presents nature-inspired hybrid algorithms for fuzzy reliability optimization in diverse engineering systems.
Fuzzy Theory Applications in Engineering is designed for graduate students and academic researchers in engineering mathematics, industrial engineering, transportation engineering, biomedical engineering, electrical engineering, electronics, and communications engineering.
Table of Contents:
1. Fuzzy-AI Models for Intelligent Healthcare: A Review on Decision-Making Under Uncertainty. 2. Efficient Aggregation Operators based on Hyperbolic Fuzzy and its Application in solving MADM problems. 3. Sustainable inventory management practices' evaluation via Plithogenic Sets based COPRAS approach. 4. Novel Distance Measure-based VIKOR Approach for Sustainable Transportation under Hyperbolic Fuzzy Sets. 5. Sustainable material selection in the FMCG Industry via Plithogenic Sets based CODAS technique. 6. Reliability Assessment of Autonomous Underwater Vehicle Operation: An Intuitionistic Fuzzy Fault Tree Approach. 7. A Green Solid Capacitated Transportation System in the Decomposed Pythagorean Fuzzy Configuration. 8. Transportation Problem in a Triangular Quartic Fuzzy Environment: A Solution Approach. 9. Performance Evaluation of a Multi-Unit System with Fuzzy Parameters and Heterogeneous Repairmen. 10. Random Membership Parameterization-Driven High-Performance Fuzzy Inference System. 11. Interval-Valued Fuzzy Logic and Three-Way Decision Making in Diagnosis Problem Solving. 12. Identification and Prioritization of Barriers to Smart and Sustainable Manufacturing Using Fuzzy AHP. 13. A Novel Approach to Solving Transportation Problems under Interval-Valued Neutrosophic Environment. 14. Emergency Response in Paediatrics: An Intuitionistic Fuzzy Correlation Measure Approach Based on Spearman’s Rank Correlation Coefficient.
About the Author :
Aayushi Chachra is presently working as an assistant professor in the Department of Mathematics at the Amity School of Applied Sciences, Amity University Haryana, Gurugram, India. Her research interests are reliability theory, fuzzy set theory, fuzzy reliability, system engineering, and applied mathematics. She has published research papers in journals and conferences.
Akshay Kumar is currently working as an assistant professor, in the Department of Mathematics, at the Graphic Era Hill University, Dehradun in India. He has published more than seventy research papers in journals and conferences. His fields of research are reliability theory, fuzzy reliability, signature reliability, and applied mathematics.
Mangey Ram is currently the Research Professor and Dean (Research Collaborations) at Graphic Era (Deemed to be University), Dehradun, India. He has been a Faculty Member for around fifteen years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He has published 400 plus publications (journal articles/books/book chapters/conference articles) in IEEE, Taylor & Francis, Springer Nature, Elsevier, Emerald, World Scientific, and many other national and international journals and conferences. His fields of research are reliability theory and applied mathematics.
Ajit Kumar Verma is a Professor (Technical Safety) for the past 14 years, and works currently at the Western Norway University of Applied Sciences, Haugesund, Norway. He was a Professor/Senior (HAG) scale Professor for around 15 years at the Indian Institute of Technology Bombay with the Reliability Engineering/Department of Electrical Engineering. He has over 250 publications in various journals and conferences and has been an author/ editor in several books. He has served as a Guest Editor of Special Issues of various journals. He had served in the past as an EIC of Opsearch, IJSA and LRSE, published by Springer. He is rated as a 'Highly Ranked Scholar' in 2025 in the top three globally in Safety Engineering by ScholarGPS based on his lifetime contributions and in the top .05 percent of scholars worldwide in his specialty.
