Fuzzy Logic with Engineering Applications

This new edition of a classic text has been updated with the latest advances in the area of fuzzy logic. It introduces new material on expansions of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based models and total uncertainty. This resource features completely revised end-of-chapter problems, a companion Web site, and abundant new illustrations and examples using MATLAB code, making it an invaluable tool for students as well as for self-study by practicing engineers. Includes abundant new illustrations and examples using MATLAB code constituting an invaluable tool for students as well as for self-study by practicing engineers. Introduces new material on expansions of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based models and total uncertainty. Features completely revised end-of -chapter problems. Companion website with MATLAB code examples and instructors solutions set

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.