Fuzzy Logic for Beginners,9789810245344

Fuzzy Logic for Beginners

by ;
ISBN13: 9789810245344
ISBN10: 9810245343
Format: Paperback
Pub. Date: 2001-04-01
Publisher(s): Textstream
List Price: $29.40

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Summary

Introductory text in fuzzy logic, for those who have no previous experience with the topic. Aims to demonstrate to the reader how one can apply fuzzy theory to real problems, explaining the basics of the theory itself, and fundamental applications of the theory in modern life. Softcover, hardcover not yet available.

Table of Contents

Considering Fuzziness
1(16)
Is ``Fuzziness'' a Vice?
1(3)
Human-Beings Originally Ambiguous
4(1)
Digital versus Analog
4(2)
Logic for Computer
6(1)
Human Beings Forced to Think Suitably for Computer
7(1)
Contemporary Rationalism Due to Descartes
8(1)
Modern Rationalism at a Deadlock
9(1)
Information and Ambiguity
10(1)
Requirement of Ambiguity
11(1)
Aspect of Ambiguity
12(1)
149 Terminologies Concerning Fuzziness
13(1)
What is Fuzzy Theory?
14(3)
Before the Invention of Fuzzy Theory
17(8)
Invention of Fuzzy Theory---Proposed by Prof. Zadeh in 1965
17(1)
Invention of Fuzzy Theory---Limitation of Rigorous Computer Modeling
18(1)
Fuzzy Theory Invented by Talking About Beautiful Women---It is Used with Anything that is Dependent on Subjective Reasoning
19(1)
Fuzzy Theory Met with Severe Criticism
20(2)
My Personal History---Getting Involved in Fuzzy Theory
22(1)
On Prof. Zadeh---The Father of Fuzzy Theory
23(2)
Fuzzy Theory
25(20)
How to Define ``Middle Age''
25(2)
What is Fuzzy Theory?
27(2)
Notation of Fuzzy Theory
29(1)
Representation of Subjectivity
30(1)
Operations in Fuzzy Theory
31(3)
Concept of Speed and Fuzzy Theory
34(4)
Consistency of Fuzzy Sets
38(2)
How to Think in Fuzzy Theory
40(2)
Difference Between Fuzzy Theory and Probability Theory
42(1)
What is Possibility Theory
43(1)
Quantifying Uncertainty
44(1)
Applications of Fuzzy Theory
45(40)
Uncertainty not Accepted in Inference Based on Binary Logic
45(2)
Daily Inference
47(1)
Fuzzy Inference
47(1)
Formalization of Fuzzy Inference
48(3)
Artificial Intelligence and Uncertainty
51(1)
How to Make Computers Thinks
52(1)
Expert System---The Frontier of Artificial Intelligence
53(1)
Fuzzy Expert Systems
54(1)
Using the Fuzzy Expert System to Drive a Car
55(5)
The First Successful Example---Fuzzy Control
60(3)
The Principle of Fuzzy Control
63(3)
Design Characteristics of Fuzzy Control
66(2)
Fault Tolerance Characteristic of Fuzzy Control
68(1)
Real Example of Fuzzy Control
69(1)
Application in Social Science---Academic Uncertainty
70(2)
Evaluation of the Risk of Smoking
72(1)
Fuzzy Survey
73(3)
Fuzzy Similarity
76(2)
Difficulty with Conventional Data Bases
78(3)
Fuzzy Database
81(2)
Real Applications
83(2)
Fuzzy Computers
85(10)
Demonstration of a Fuzzy Computer
85(2)
Development Work on the Fuzzy Computer
87(1)
Control Target of the Demonstration
88(2)
Structure of a Fuzzy Computer
90(1)
Dream of a Fuzzy Computer
91(4)
Usefulness of Uncertainty
95
Importance of Uncertainties
95
Use of Uncertainty
97
Uncertainty and Organizations
98
Uncertainty and Politicians
100
Advantages of Fuzzy Theory
101
Frequent Questions about Fuzzy Theory
103
Conclusions
104

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