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

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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 MATLABâ„¢ 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.).

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Editorial Reviews

Booknews
A text for a one-semester, introductory, advanced-undergraduate or beginning-graduate course for engineering students. Explains the theory underlying control based on fuzzy logic, pattern classification, and information processing strategies in relation to complex systems. Also describes applications in a variety of areas, and discusses design methodology that can be adapted to different specialties of engineering. Uses MATLAB/SIMULINK and Fuzzy Logical Toolbox for MATLAB. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780135258170
  • Publisher: Prentice Hall
  • Publication date: 11/19/1998
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 548
  • Product dimensions: 7.50 (w) x 9.20 (h) x 1.30 (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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