000			02121nam a2200277Ia 4500
003			OSt
005			20250908151922.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9788126531264
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aB217 P4;Q0;2 _qCSL
100			_aRoss, Timothy J _eauthor _9820328
245		0	_c/ by Timothy J Ross _aFuzzy logic with engineering applications
250			_a3rd ed.
260			_aNew Delhi : _bWiley, _c2010.
300			_axxi, 585p. _b: ill.
500			_aIndex 579-585p.
520			_aFuzzy logic refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge. Fuzzy logic is a reasoning system based on a foundation of fuzzy set theory, itself an extension of classical set theory, where set membership can be partial as opposed to all or none, as in the binary features of classical logic.Fuzzy logic is a relatively new discipline in which major advances have been made over the last decade or so with regard to theory and applications. Following on from the successful first edition, this fully updated new edition is therefore very timely and much anticipated. Concentration on the topics of fuzzy logic combined with an abundance of worked examples, chapter problems and commercial case studies is designed to help motivate a mainstream engineering audience, and the book is further strengthened by the inclusion of an online solutions manual as well as dedicated software codes.Senior undergraduate and postgraduate students in most engineering disciplines, academics and practicing engineers, plus some working in economics, control theory, operational research etc, will all find this a valuable addition to their bookshelves.
650			_a Development of membership functions _9820329
650			_a Miscellaneous topics _9820330
650			_aClassical sets _9820331
942			_hB217 P4;Q0;2 _cTEXL _2CC _n0
999			_c12757 _d12757