Fuzzy logic with engineering applications - Timothy J. Ross

Timothy J. Ross

ISBN 10: 047074376X / ISBN 13: 9780470743768

Editore: 2010, 2010

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Dati bibliografici

• Titolo: Fuzzy logic with engineering applications - Timothy J. Ross
• Editore: 2010
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 047074376X
• ISBN 13: 9780470743768
• Rilegatura: Brossura
• Edizione: terza edizione
• Condizione: Used: Good
• Cataloghi dei venditori:
  • Grand Format
  • Grand Format Pages: Philosophie

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.