Fuzzy Logic Engineering Applications

Science & Math

Timothy Ross

Mathematics

McGraw–Hill Education

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 <a href="http://www.wileyeurope.com/go/fuzzylogic">www.wileyeurope.com/go/fuzzylogic</a>. 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.

Fuzzy Logic with Engineering Applications

wiley

The latest edition of this classic text is up to date with the inclusion of major advances within fuzzy logic as well as the removal of topics that are redundant or obsolete; resulting in a concise yet inclusive text that will ensure it retains its broad appeal at the forefront of the literature. This edition is oriented mainly towards methods and techniques, and is revised with every chapter featuring new illustrations and examples using matlab code that will benefit student learning in all basic operations, the generation of membership functions, and all the specialized applications in the latter chapters of the book. · 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.

Fuzzy Logic With Engineering Applications, 3Rd Ed

Computers & Technology

Computer Science

Willey India

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