Fuzzy Logic: Intelligence, Control, and Information / Edition 1

Fuzzy Logic: Intelligence, Control, and Information / Edition 1

by John Yen, Reza Langari
     
 

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

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Overview

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.).

Product Details

ISBN-13:
9780135258170
Publisher:
Prentice Hall
Publication date:
11/19/1998
Edition description:
New Edition
Pages:
548
Product dimensions:
7.50(w) x 9.10(h) x 1.20(d)

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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