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LEADER: 03535fam a2200361 a 4500
001 1685854
005 20220608212301.0
008 940916t19951995njua b 001 0 eng
010 $a 94036398
020 $a0131011715
035 $a(OCoLC)31243083
035 $a(OCoLC)ocm31243083
035 $9AKV5153CU
035 $a(NNC)1685854
035 $a1685854
040 $aDLC$cDLC$dDLC$dOrLoB
050 00 $aQA248$b.K487 1995
082 00 $a511.3$220
100 1 $aKlir, George J.,$d1932-$0http://id.loc.gov/authorities/names/n50042346
245 10 $aFuzzy sets and fuzzy logic :$btheory and applications /$cGeorge J. Klir and Bo Yuan.
260 $aUpper Saddle River, N.J. :$bPrentice Hall PTR,$c[1995], ©1995.
300 $axv, 574 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. 494-547) and indexes.
505 20 $g1.$tFrom Classical (Crisp) Sets to Fuzzy Sets: A Grand Paradigm Shift --$g2.$tFuzzy Sets Versus Crisp Sets --$g3.$tOperations on Fuzzy Sets --$g4.$tFuzzy Arithmetic --$g5.$tFuzzy Relations --$g6.$tFuzzy Relation Equations --$g7.$tPossibility Theory --$g8.$tFuzzy Logic --$g9.$tUncertainty-Based Information --$g10.$tConstructing Fuzzy Sets and Operations on Fuzzy Sets --$g11.$tApproximate Reasoning --$g12.$tFuzzy Systems --$g13.$tPattern Recognition --$g14.$tFuzzy Databases and Information Retrieval Systems --$g15.$tFuzzy Decision Making --$g16.$tEngineering Applications --$g17.$tMiscellaneous Applications --$tAppendix A. Neural Networks: An Overview --$tAppendix B. Genetic Algorithms: An Overview --$tAppendix C. Rough Sets Versus Fuzzy Sets --$tAppendix D. Proofs of Some Mathematical Theorems --$tAppendix E. Glossary of Key Concepts --$tAppendix F. Glossary of Symbols.
520 $aThe primary purpose of this book is to provide the reader with a comprehensive coverage of theoretical foundations of fuzzy set theory and fuzzy logic, as well as a broad overview of the increasingly important applications of these novel areas of mathematics. Although it is written as a text for a course at the graduate or upper division undergraduate level, the book is also suitable for self-study and for industry-oriented courses of continuing education.
520 8 $aNo previous knowledge of fuzzy set theory and fuzzy logic is required for understanding the material covered in the book. Although knowledge of basic ideas of classical (nonfuzzy) set theory and classical (two-valued) logic is useful, fundamentals of these subject areas are briefly overviewed in the book. In addition, basic ideas of neural networks, genetic algorithms, and rough sets are also explained. This makes the book virtually self-contained.
520 8 $aThroughout the book, many examples are used to illustrate concepts, methods, and generic applications as they are introduced. Each chapter is followed by a set of exercises, which are intended to enhance readers' understanding of the material presented in the chapter. Extensive and carefully selected bibliography, together with bibliographical notes at the end of each chapter and a bibliographical subject index, is an invaluable resource for further study of fuzzy theory and applications.
650 0 $aFuzzy sets.$0http://id.loc.gov/authorities/subjects/sh85052627
650 0 $aFuzzy logic.$0http://id.loc.gov/authorities/subjects/sh93006704
700 1 $aYuan, Bo.$0http://id.loc.gov/authorities/names/n94089798
852 00 $boff,eng$hQA248$i.K487 1995