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James K. Peckol
Introduction to Fuzzy Logic
Читать книгу Introduction to Fuzzy Logic - James K. Peckol - Страница 1
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Оглавление
Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
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Preface Starting to Think Fuzzy and Beyond
Organizing the Book
The Chapters Introduction and Background
History and Infrastructure
Sets, Sets, and More Sets
Linguistic Variables and Hedges
Fuzzy Inference and Approximate Reasoning
Doing the Work
Introducing Threshold Logic
Moving to Perceptron Logic
The Appendices
The Audience
Notes to the Instructor
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Introduction THINGS TO LOOK FOR…
I.1 Introducing Fuzzy Logic, Fuzzy Systems, and • • • • •
I.2 Philosophy
I.3 Starting to Think Fuzzy – Fuzzy Logic Q&A
I.4 Is Fuzzy Logic a Relatively New Technology?
I.5 Who Is Using Fuzzy Logic in the United States?
I.6 What Are Some Advantages of Fuzzy Logic?
I.7 Can I Use Fuzzy Logic to Solve All My Design Problems?
I.8 What's Wrong with the Tools I'm Using Now?
I.9 Should I Implement My Fuzzy System in Hardware or Software?
I.10 Introducing Threshold Logic
I.11 Moving to Perceptron Logic
I.12 Testing and Debugging
I.13 Summary
Review Questions Fuzzy Logic
Threshold Logic
Perceptrons
Thought Questions
1 A Brief Introduction and History THINGS TO LOOK FOR…
1.1 Introduction
1.2 Models of Human Reasoning
1.2.1 The Early Foundation
1.2.1.1 Three Laws of Thought
1.3 Building on the Past – From Those Who Laid the Foundation
1.4 A Learning and Reasoning Taxonomy
1.4.1 Rote Learning
1.4.2 Learning with a Teacher
1.4.3 Learning by Example
1.4.4 Analogical or Metaphorical Learning
1.4.5 Learning by Problem Solving
1.4.6 Learning by Discovery
1.5 Crisp and Fuzzy Logic
1.6 Starting to Think Fuzzy
1.7 History Revisited – Early Mathematics
1.7.1 Foundations of Fuzzy Logic
1.7.2 Fuzzy Logic and Approximate Reasoning
1.7.3 Non‐monotonic Reasoning
1.8 Sets and Logic 1.8.1 Classical Sets
1.8.2 Fuzzy Subsets
1.8.3 Fuzzy Membership Functions
Example 1.1
Example 1.2
Example 1.3
Example 1.4
1.9 Expert Systems
1.10 Summary
Review Questions
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