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Fuzzy Logic With Engineering Applications
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ISBN
:
9788126531264
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Publisher
:
Wiley India Pvt Ltd
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Subject
:
Encyclopaedias & Reference Works
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Binding
:
Paperback
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Pages
:
608
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Year
:
2011
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849.0
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Description
This new edition features the latest advances in the field including material on expansion of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based models and total uncertainty. Redundant or obsolete topics have been removed, resulting in a more concise yet inclusive text that will ensure the book retains its broad appeal at the forefront of the literature. Fuzzy Logic with Engineering Applications, 3rd Edition is oriented mainly towards methods and techniques. Every chapter has been revised, featuring new illustrations and examples throughout. Supporting MATLAB code is downloadable at www.wileyeurope.com/go/fuzzylogic. This will benefit student learning in all basic operations, the generation of membership functions, and the specialized applications in the latter chapters of the book, providing an invaluable tool for students as well as for self-study by practicing engineers.
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Author Biography
Timothy Ross is a professor within the Department of Civil Engineering at the University of New Mexico where he teaches courses in structural analysis, structural dynamics and fuzzy logic. Heis a registered professional engineer with over 30 years experience in the fields of computational mechanics, hazard survivability, structural dynamics, structural safety, stochastic processes, risk assessment, and fuzzy systems. Professor Ross is the founding Editor-in-Chief of the International Journal, Intelligent and Fuzzy Systems. The first edition of his textbook Fuzzy Logic with Engineering Applications was the first classroom text for undergraduates in this field. About the Author About the Author Preface to the Third Edition Introduction Classical Sets and Fuzzy Sets Classical Relations and Fuzzy Relations Properties of Membership Functions, Fuzzification, and Defuzzification Logic and Fuzzy Systems Development of Membership Functions Automated Methods for Fuzzy Systems Fuzzy Systems Simulation Decision Making with Fuzzy Information Fuzzy Classification Fuzzy Pattern Recognition Fuzzy Arithmetic and the Extension Principle Fuzzy Control Systems Miscellaneous Topics Monotone Measures: Belief, Plausibility, Probability, and Possibility References Problems Index
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