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 MATLABaA A 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.
Publisher: Pearson Education (US)