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  SPECIFICATION
FUZZY LOGIC: INTELLIGENCE CONTROL AND INFORMATION (pb)2009
Author: JOHN YEN
ISBN: 9788131705346
Year: 2009
Publisher: PEARSON EDUCATION ASIA
Category: ELECTRICAL ENGINEERING
Edition: 1
Format: Paperback
Language: English
Pages: 530
 ABOUT THE TITLE
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.
Salient 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 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.
• 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.
Author:
John Yen Texas A&M University
Author:
Reza Langari Texas A&M University
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 TABLE OF CONTENTS
1. Introduction.
2. Basic Concepts of Fuzzy Logic.
3. Fuzzy Sets.
4. Fuzzy Relations, Fuzzy Graphs, and Fuzzy Arithmetic.
5. Fuzzy If-Then Rules.
6. Fuzzy Implications and Approximate Reasoning.
7. Fuzzy Logic and Probability Theory.
8. Fuzzy Logic in Control Engineering.
9. Hierarchical Intelligent Control.
10. Analytical Issues in Fuzzy Logic Control.
11. Fuzzy Logic and Artificial Intelligence.
12. Fuzzy Logic in Database Management and Information Systems.
13. Fuzzy Logic in Pattern Recognition.
14. Fuzzy Model Identification.
15.Advanced Topics of Fuzzy Model Identification.
16.Neuro-Fuzzy Systems.
17. Genetic Algorithms and Fuzzy Logic.
References.
Index.
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