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Download/Read Fuzzy Logic with Engineering Applica
Download/Read Fuzzy Logic with Engineering Applica

Read online or Download Fuzzy Logic with Engineering Applications by Timothy J. Ross



Overview:

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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Fuzzy logic - Wikipedia, the free encyclopedia

Fuzzy logic is a form of many-valued logic that deals with approximate, rather than fixed and exact reasoning. Compared to traditional binary logic (where variables

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and

Fuzzy control system - Wikipedia, the free encyclopedia

Overview . Fuzzy logic is widely used in a machine control. The term "fuzzy" refers to the fact that the logic involved can deal with concepts that cannot be

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From the reviews: "This book constitutes a comprehensive and didactically appealing introduction to the essentials of fuzzy sets, fuzzy logic and their applications.