Fuzzy Logic For Beginners

By: Masao Mukaidono

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Paperback | 13 February 2001

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116 Pages

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There are many uncertainties in the real world. Fuzzy theory treats a kind of uncertainty called fuzziness, where it shows that the boundary of yes or no is ambiguous and appears in the meaning of words or is included in the subjunctives or recognition of human beings. Fuzzy theory is essential and is applicable to many systems — from consumer products like washing machines or refrigerators to big systems like trains or subways. Recently, fuzzy theory has been a strong tool for combining new theories (called soft computing) such as genetic algorithms or neural networks to get knowledge from real data.This introductory book enables the reader to understand easily what fuzziness is and how one can apply fuzzy theory to real problems — which explains why it was a best-seller in Japan.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Mathematics Mathematical Foundation Mathematical Logic Applied Mathematics Fuzzy Set Theory Booktopia Publisher Services World Scientific Publishing

Considering Fuzziness	p. 1
Is "Fuzziness" a Vice?	p. 1
Human-Beings Originally Ambiguous	p. 4
Digital versus Analog	p. 4
Logic for Computer	p. 6
Human Beings Forced to Think Suitably for Computer	p. 7
Contemporary Rationalism Due to Descartes	p. 8
Modern Rationalism at a Deadlock	p. 9
Information and Ambiguity	p. 10
Requirement of Ambiguity	p. 11
Aspect of Ambiguity	p. 12
149 Terminologies Concerning Fuzziness	p. 13
What is Fuzzy Theory?	p. 14
Before the Invention of Fuzzy Theory	p. 17
Invention of Fuzzy Theory--Proposed by Prof. Zadeh in 1965	p. 17
Invention of Fuzzy Theory--Limitation of Rigorous Computer Modeling	p. 18
Fuzzy Theory Invented by Talking About Beautiful Women--It is Used with Anything that is Dependent on Subjective Reasoning	p. 19
Fuzzy Theory Met with Severe Criticism	p. 20
My Personal History--Getting Involved in Fuzzy Theory	p. 22
On Prof. Zadeh--The Father of Fuzzy Theory	p. 23
Fuzzy Theory	p. 25
How to Define "Middle Age"	p. 25
What is Fuzzy Theory?	p. 27
Notation of Fuzzy Theory	p. 29
Representation of Subjectivity	p. 30
Operations in Fuzzy Theory	p. 31
Concept of Speed and Fuzzy Theory	p. 34
Consistency of Fuzzy Sets	p. 38
How to Think in Fuzzy Theory	p. 40
Difference Between Fuzzy Theory and Probability Theory	p. 42
What is Possibility Theory	p. 43
Quantifying Uncertainty	p. 44
Applications of Fuzzy Theory	p. 45
Uncertainty not Accepted in Inference Based on Binary Logic	p. 45
Daily Inference	p. 47
Fuzzy Inference	p. 47
Formalization of Fuzzy Inference	p. 48
Artificial Intelligence and Uncertainty	p. 51
How to Make Computers Thinks	p. 52
Expert System--The Frontier of Artificial Intelligence	p. 53
Fuzzy Expert Systems	p. 54
Using the Fuzzy Expert System to Drive a Car	p. 55
The First Successful Example--Fuzzy Control	p. 60
The Principle of Fuzzy Control	p. 63
Design Characteristics of Fuzzy Control	p. 66
Fault Tolerance Characteristic of Fuzzy Control	p. 68
Real Example of Fuzzy Control	p. 69
Application in Social Science--Academic Uncertainty	p. 70
Evaluation of the Risk of Smoking	p. 72
Fuzzy Survey	p. 73
Fuzzy Similarity	p. 76
Difficulty with Conventional Data Bases	p. 78
Fuzzy Database	p. 81
Real Applications	p. 83
Fuzzy Computers	p. 85
Demonstration of a Fuzzy Computer	p. 85
Development Work on the Fuzzy Computer	p. 87
Control Target of the Demonstration	p. 88
Structure of a Fuzzy Computer	p. 90
Dream of a Fuzzy Computer	p. 91
Usefulness of Uncertainty	p. 95
Importance of Uncertainties	p. 95
Use of Uncertainty	p. 97
Uncertainty and Organizations	p. 98
Uncertainty and Politicians	p. 100
Advantages of Fuzzy Theory	p. 101
Frequent Questions about Fuzzy Theory	p. 103
Conclusions	p. 104
Table of Contents provided by Syndetics. All Rights Reserved.

Fuzzy Logic For Beginners

At a Glance

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