Fuzzy logic [Book] : intelligence, control, and information / John Yen and Reza Langari.

• Comprehensive and up-to-date coverage. • Provides examples and exercises that are related to real world problems. • Uses Fuzzy Logic Toolbox for MATLAB™ to demonstrate exemplar applications and to develop hands-on exercises. • Provides design guidelines and design methods for developing fuzzy logic applications. • Provides a modern perspective of the fuzzy logic technology. • Introduces core concepts and techniques gently in two steps. • Provides relevant background material so that students from a wide range of disciplines can easily understand the text. • 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.) • Summarizes key concepts at the end of each chapter. • Highlights motivations and benefits of employing fuzzy logic in control engineering and information systems. • Discussion of open research issues and their implications. • Advanced topics are separated from the basic material in the chapter that immediately follows.

This text is appropriate for an undergraduate electrical engineering course in fuzzy logic. Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology.

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