000			02066nam a2200253Ia 4500
999			_c130 _d130
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003			OSt
005			20190302113005.0
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020			_a9787332549425
028			_q2016 _bAllied Informatics, Jaipur
040			_bEnglish _aBSDU _cBSDU
082			_a511.322 3 _bKLI
100			_aKlir, George J
245		0	_aFuzzy Sets & Fuzzy Logic : Theory and Applications
260			_bPearson Education _a New Delhi _c2016,c2015
300			_a574
500			_aReflecting 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
501			_aSalient 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.
504			_aTable 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
650			_aMath
700			_a Yuan, Bo
942			_2ddc _cBK