000			03162cam a2200361 a 4500
653			_aApplied Sciences العلوم التطبيقية
942			_cBK _h600 _iGA74
999			_c46836 _d46835
001			31243083
003			OCoLC
005			20240903144200.0
008			940916t19951995njua b 001 0 eng
013			_d1995
015			_aGB9556047
020			_a0131011715
020			_a9780131011717
035			_a(OCoLC)31243083 _z(OCoLC)32922276
040			_aDLC _beng _cDLC _dUKM _dMUQ _dBAKER _dNLGGC _dBTCTA _dYDXCP _dOCLCG _dZWZ _dDEBSZ _dBDX _dMOF _dGBVCP _dOCLCO _dOCLCF _dNSC _dOCLCQ _dUtOrBLW
041			_aeng
050	0	0	_aQA248 _b.K487 1995
082	0	0	_a511.3 _220
100	1		_aGeorge J. Klir _d1932-
245	1	0	_aFuzzy Sets and Fuzzy Logic: Theory and Applications
260			_aUSA _bPrentice Hall _c1995
300			_axv, 574 _billustrations _c30 cm
505	0		_aFrom classical (crisp) sets to fuzzy sets: a grand paradign shift -- Fuzzy sets versus crisp sets -- Operations on fuzzy sets -- Fuzzy arithmetic -- Fuzzy relations -- Fuzzy relation equations -- Possibility theory -- Fuzzy logic -- Uncertainty-based information -- Constructing fuzzy sets and operations on fuzzy sets -- Approximate reasoning -- Fuzzy systems -- Pattern recognition -- Fuzzy databases and information retrieval systems -- Fuzzy decision making -- Engineering applications -- Miscellaneous applications
505	0		_aAppendixes. Neural networks: an overview -- Genetic algorithms: an overview -- Rough sets versus fuzzy sets -- Proofs of some mathematical theorems -- Glossary of key concepts -- Glossary of symbols
520	1		_a"The 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." "No 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." "Throughout 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."--Jacket
630			_lEnglish
650		0	_aFuzzy sets
650		0	_aFuzzy logic
650		0	_aGeneral
700	1		_aBo Yuan