Fuzzy Logic with Engineering Applications

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John Wiley & Sons, Dec 1, 2009 - Technology & Engineering - 606 pages
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The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, 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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Contents

1 Introduction
1
2 Classical Sets and Fuzzy Sets
25
3 Classical Relations and Fuzzy Relations
48
4 Properties of Membership Functions Fuzzification and Defuzzification
89
5 Logic and Fuzzy Systems
117
6 Development of Membership Functions
174
7 Automated Methods for Fuzzy Systems
211
8 Fuzzy Systems Simulation
245
10 Fuzzy Classification
332
11 Fuzzy Pattern Recognition
369
12 Fuzzy Arithmetic and the Extension Principle
408
13 Fuzzy Control Systems
437
14 Miscellaneous Topics
501
15 Monotone Measures Belief Plausibility Probability and Possibility
530
Index
579
Copyright

9 Decision Making with Fuzzy Information
276

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About the author (2009)

Professor Timothy J. Ross is 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. He has been an engineering educator at the University of New Mexico (UNM) since 1987 and is the founding Editor-in-Chief of the International Journal of Intelligent and Fuzzy Systems.

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