Fuzzy Logic: Intelligence, Control, and Information - Softcover

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Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology.

FEATURES

• 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 materials that encompass a wide range of disciplines.
• 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.
• A chapter is devoted to the subject of "How to design a fuzzy system." In addition, several other chapters (e.g., the chapters on fuzzy model identification and neuro-fuzzy systems) introduce techniques for automating decisions in the design process using training data (i.e., examples) and learning algorithms.
• Advanced topics are separated from the basic material in the chapter that immediately follows.