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A
COURSE
IN'FUZZY
Li-Xin
Wang

A
Course
in
Fuzzy
Systems
and
Control
Li-Xin Wang
Prentice-Hall International, Inc.

Contents
Preface
xv
1
Introduction
1.1
Why Fuzzy Systems?
1.2 What Are Fuzzy Systems?
1.3 Where Are
Fuzzy Systems Used and How?
1.3.1 Fuzzy Washing Machines
1.3.2 Digital Image Stabilizer
1.3.3 Fuzzy Systems in Cars
1.3.4 Fuzzy Control of
a
Cement Kiln
1.3.5
Fuzzy Control of Subway Train
1.4 What Are the Major Research Fields in Fuzzy Theory?
1.5
A
Brief History of Fuzzy Theory and Applications
1.5.1 The 1960s: The Beginning of Fuzzy Theory
1.5.2 The 1970s: Theory Continued to Grow and Real Applications
Appeared
1.5.3 The 1980s: Massive Applications Made a Difference
1.5.4 The 1990s: More Challenges Remain
1.6 Summary and Further Readings
1.7 Exercises
I
The Mathematics of
Fuzzy
Systems and Control
19
2
Fuzzy
Sets and Basic Operations on
Fuzzy
Sets
2.1
From Classical Sets to Fuzzy Sets
2.2
Basic Concepts Associated with Fuzzy Set

vi
Contents
2.3
Operations on Fuzzy Sets
2.4
Summary and Further Readings
2.5
Exercises
3
Further Operations on Fuzzy Sets
3.1
Fuzzy Complement
3.2
Fuzzy Union-The S-Norms
3.3
Fuzzy Intersection-The T-Norms
3.4
Averaging Operators
3.5
Summary and Further Readings
3.6
Exercises
4
Fuzzy Relations and the Extension Principle
4.1
From Classical Relations to Fuzzy Relations
4.1.1
Relations
4.1.2
Projections and Cylindric Extensions
4.2
Compositions of Fuzzy Relations
4.3
The Extension Principle
4.4
Summary and Further Readings
4.5
Exercises
5
Linguistic Variables and Fuzzy IF-THEN Rules
5.1
From Numerical Variables to Linguistic Variables
5.2
Linguistic Hedges
5.3
Fuzzy IF-THEN Rules
5.3.1
Fuzzy Propositions
5.3.2
Interpretations of Fuzzy IF-THEN Rules
5.4
Summary and Further Readings
5.5
Exercises
6
Fuzzy Logic and Approximate Reasoning
6.1
From Classical Logic to Fuzzy Logic
6.1.1
Short Primer on Classical Logic
6.1.2
Basic Principles in Fuzzy Logic
6.2
The Compositional Rule of Inference
6.3
Properties of the Implication Rules
6.3.1
Generalized Modus Ponens
6.3.2
Generalized Modus Tollens

CONTENTS
6.3.3 Generalized Hypothetical Syllogism
6.4 Summary and Further Readings
6.5 Exercises
I1
Fuzzy Systems
and
Their Properties
7
Fuzzy Rule Base and Fuzzy Inference Engine
7.1 Fuzzy Rule Base
7.1.1
Structure of Fuzzy Rule Base
7.1.2 Properties of Set of Rules
7.2 Fuzzy Inference Engine
7.2.1 Composition Based Inference
7.2.2 Individual-Rule Based Inference
7.2.3
The Details of Some Inference Engines
7.3 Summary and Further Readings
7.4 Exercises
8
Fuzzifiers and Defuzzifiers
8.1 Fuzzifiers
8.2 Defuzzifiers
8.2.1 center of gravity Defuzzifier
8.2.2 Center Average Defuzzifier
8.2.3 Maximum Defuzzifier
8.2.4 Comparison of the Defuzzifiers
8.3 Summary and Further Readings
8.4 Exercises
9
Fuzzy Systems as Nonlinear Mappings
9.1 The Formulas of Some Classes of Fuzzy Systems
9.1.1
Fuzzy Systems with Center Average Defuzzifier
9.1.2
Fuzzy Systems with Maximum Defuzzifier
9.2
Fuzzy Systems As Universal Approximators
9.3 Summary and Further Readings
9.4 Exercises
10 Approximation Properties of Fuzzy Systems
I
10.1 Preliminary Concepts
10.2 Design of Fuzzy System
vii
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