Fuzzy Sets & Fuzzy Logic : Theory and Applications
- New Delhi Pearson Education 2016,c2015
- 574
Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from 1988 to the present, this book not only details the theoretical advances in these areas but considers a broad variety of applications of fuzzy sets and fuzzy logic as well.
Post Review
Salient Features Details the advances that have taken place in fuzzy set theory and fuzzy logic in recent years. Requires only a basic knowledge of classical (nonfuzzy) set theory, classical (two-valued) logic, and probability theory. Includes all bibliographical, historical, and other side remarks in the notes that follow each individual chapter. Includes a set of exercises after each chapter. Offers an overview of neural networks, genetic algorithms, and rough sets in Appendices A-C. Includes a glossary of key concepts and a glossary of symbols.
Table of Content I. THEORY 1. From Classical (Crisp) Sets to Fuzzy Sets: A Grand Paradigm Shift 2. Fuzzy Sets versus Crisp Sets 3. Operations on Fuzzy Sets 4. Fuzzy Arithmetic 5. Fuzzy Relations 6. Fuzzy Relation Equations 7. Possibility Theory 8. Fuzzy Logic 9. Uncertainty-Based Information II. APPLICATIONS 10. Constructing Fuzzy Sets and Operations on Fuzzy Sets 11. Approximate Reasoning 12. Fuzzy Systems 13. Pattern Recognition 14. Fuzzy Databases and Information Retrieval Systems 15. Fuzzy Decision Making 16. Engineering Applications 17. Miscellaneous Applications