Introduction to Fuzzy Systems  book cover
1st Edition

Introduction to Fuzzy Systems

ISBN 9781584885313
Published November 16, 2005 by Chapman and Hall/CRC
332 Pages 124 B/W Illustrations

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Book Description

Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems.

After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory.

Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control systems.

Table of Contents

Each chapters ends with a problem set
Fuzzy Set Theory:
Classical Set Theory
Fuzzy Set Theory
Interval Arithmetic
Operations on Fuzzy Sets:
Fuzzy Logic Theory
Classical Logic Theory
The Boolean Algebra
Multi-Valued Logic
Fuzzy Logic and Approximate Reasoning
Fuzzy Relations
Some Applications of Fuzzy Logic
Product Quality Evaluation
Decision Making for Investment
Performance Evaluation
Miscellaneous Examples
Fuzzy Rule Base and Fuzzy Modeling
Fuzzy Rule Base
Fuzzy Modeling
Fuzzy Control Systems
Classical Programmable Logic Control
Fuzzy Logic Control: A General Model-Free Approach
Fuzzy PID Control Systems
Conventional PID Controllers
Fuzzy PID Controllers (Type 1)
Fuzzy PID Controllers (Type 2)
Fuzzy PID Controllers: Stability Analysis
Computational Verb Fuzzy Controllers
Computational Verbs and Verb Numbers
Verb Rules and Verb Inference
Computational Verb-Based Fuzzy PID Controllers

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