Highlights motivations and benefits of employing fuzzy logic in control engineering and information systems. Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology. Uses Fuzzy Logic Toolbox for MATLAB™ to demonstrate exemplar applications and to develop hands-on exercises. Introduces the connection between fuzzy logic and related ideas, methods, and theories developed in other disciplines (e.g., artificial intelligence, probability theory, control, model identification, etc.).

About the Author

Professors John Yen and Reza Langari are on the faculty of Texas A&M University and co-founder of the Center for Fuzzy Logic, Robotics, and Intelligent Systems. They are the co-editors of the IEEE Press Book ``Industrial Applications of Fuzzy Logic and Intelligent Systems''. They are also the General Chair and the Program Chair of The 9th IEEE International Conference on Fuzzy Systems (FUZZIEEE 2000).

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