Dr. Constantin Virgil Negoita

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Curriculum Activities Books Papers
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Expert Systems ...

Contents

CHAPTER ONE

Introduction 1
Expert computer systems 1
The field and the book 6
Historical survey 12
Readings 15

CHAPTER TWO

Exact and Inexact Reasoning in Knowledge Engineering 23
Thinking in rules 25
Plausible versus approximate reasoning: changing the topos of evidence combination 30
The theory of categories 31
Approximate reasoning in fuzzy optimization 35
Summary 40
Readings 42

CHAPTER THREE

Fuzzy Sets 47
Vagueness 47
Open texture 49
Fuzzy set are functions 50
The algebra of fuzzy sets 52
How many are a few? Fuzzy numbers and sorites revised 58
The strategy of fuzzy sets 60
Summary 64
Readings 65

CHAPTER FOUR

Knowledge Representation 69
The problems of knowledge engineering 70
Production systems for symbolic manipulations 72
Production rules can be derived form verbal models 74
Production rules are relations between fuzzy sets 77
Linguistic variables in production rules 80
Representing knowledge by fuzzy relations 82
Summary 88
Readings 88

CHAPTER FIVE

Approximate Reasoning 95
Rules of Inference 95
What is truth? Compatibility 99
Knowledge diagrams are models of fuzzy systems 100
Truth questions 105
Value questions 107
Variable questions 109
Summary 111
Readings 112

CHAPTER SIX

Knowledge Engineering in Decision Support Systems 117
Judgment and information in decision making 117
Qualitative inquiries 120
Numeric data bases and linguistic queries 123
Policy routines 127
Planning and forecasting with dynamic robust models 129
Pullback in flexible programming 134
Summary 136
Readings

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