000 02619cam a2200313 i 4500
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_d7018
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005 20180508150751.0
008 160511s2017 enka b 001 0 eng
020 _a9781119235866 (pbk.)
040 _erda
050 0 0 _aTA 331
_b.R733 2017
100 1 _aRoss, Timothy J.
_924067
245 1 0 _aFuzzy logic with engineering applications /
_cTimothy J. Ross, University of New Mexico, USA.
250 _aFourth edition.
260 _aSouthern Gate, Chichester, West Sussex, United Kingdom :
_bWiley,
_c2017.
264 1 _aSouthern Gate, Chichester, West Sussex, United Kingdom :
_bWiley,
_c2017.
265 _aFFB
300 _axviii, 562 pages :
_billustrations ;
_c25 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aClassical sets and fuzzy sets -- Classical relations and fuzzy relations -- Properties of membership functions, fuzzification, and defuzzification -- Logic and fuzzy systems -- Historical methods of developing membership functions -- Automated methods for fuzzy systems -- Fuzzy systems simulation -- Decision making with fuzzy information -- Fuzzy classification and pattern recognition -- Fuzzy control systems -- Applications of fuzzy systems using miscellaneous models -- Monotone measures : belief, plausibility, probability, and possibility.
520 _aThe importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. Fuzzy Logic with Engineering Applications, Fourth Edition is a new edition of the popular textbook with 15% of new and updated material. Updates have been made to most of the chapters and each chapter now includes new end-of-chapter problems. Key features: New edition of the popular textbook with 15% of new and updated material. Includes new examples and end-of-chapter problems. Has been made more concise with the removal of out of date material. Covers applications of fuzzy logic to engineering and science. Accompanied by a website hosting a solutions manual and software. The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry.
650 0 _aEngineering
_xStatistical methods.
_924068
650 0 _aFuzzy logic.
_919818
942 _2lcc
_cGS
984 _a066222
_blac