Fuzzy logic for beginners /
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| Author / Creator: | Mukaidono, Masao, 1942- |
|---|---|
| Imprint: | Singapore ; River Edge, NJ : World Scientific, c2001. |
| Description: | x, 105 p. : ill. ; 22 cm. |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/4583231 |
Table of Contents:
- 1. Considering Fuzziness
- 1.1. Is "Fuzziness" a Vice?
- 1.2. Human-Beings Originally Ambiguous
- 1.3. Digital versus Analog
- 1.4. Logic for Computer
- 1.5. Human Beings Forced to Think Suitably for Computer
- 1.6. Contemporary Rationalism Due to Descartes
- 1.7. Modern Rationalism at a Deadlock
- 1.8. Information and Ambiguity
- 1.9. Requirement of Ambiguity
- 1.10. Aspect of Ambiguity
- 1.11. 149 Terminologies Concerning Fuzziness
- 1.12. What is Fuzzy Theory?
- 2. Before the Invention of Fuzzy Theory
- 2.1. Invention of Fuzzy Theory--Proposed by Prof. Zadeh in 1965
- 2.2. Invention of Fuzzy Theory--Limitation of Rigorous Computer Modeling
- 2.3. Fuzzy Theory Invented by Talking About Beautiful Women--It is Used with Anything that is Dependent on Subjective Reasoning
- 2.4. Fuzzy Theory Met with Severe Criticism
- 2.5. My Personal History--Getting Involved in Fuzzy Theory
- 2.6. On Prof. Zadeh--The Father of Fuzzy Theory
- 3. Fuzzy Theory
- 3.1. How to Define "Middle Age"
- 3.2. What is Fuzzy Theory?
- 3.3. Notation of Fuzzy Theory
- 3.4. Representation of Subjectivity
- 3.5. Operations in Fuzzy Theory
- 3.6. Concept of Speed and Fuzzy Theory
- 3.7. Consistency of Fuzzy Sets
- 3.8. How to Think in Fuzzy Theory
- 3.9. Difference Between Fuzzy Theory and Probability Theory
- 3.10. What is Possibility Theory
- 3.11. Quantifying Uncertainty
- 4. Applications of Fuzzy Theory
- 4.1. Uncertainty not Accepted in Inference Based on Binary Logic
- 4.2. Daily Inference
- 4.3. Fuzzy Inference
- 4.4. Formalization of Fuzzy Inference
- 4.5. Artificial Intelligence and Uncertainty
- 4.6. How to Make Computers Thinks
- 4.7. Expert System--The Frontier of Artificial Intelligence
- 4.8. Fuzzy Expert Systems
- 4.9. Using the Fuzzy Expert System to Drive a Car
- 4.10. The First Successful Example--Fuzzy Control
- 4.11. The Principle of Fuzzy Control
- 4.12. Design Characteristics of Fuzzy Control
- 4.13. Fault Tolerance Characteristic of Fuzzy Control
- 4.14. Real Example of Fuzzy Control
- 4.15. Application in Social Science--Academic Uncertainty
- 4.16. Evaluation of the Risk of Smoking
- 4.17. Fuzzy Survey
- 4.18. Fuzzy Similarity
- 4.19. Difficulty with Conventional Data Bases
- 4.20. Fuzzy Database
- 4.21. Real Applications
- 5. Fuzzy Computers
- 5.1. Demonstration of a Fuzzy Computer
- 5.2. Development Work on the Fuzzy Computer
- 5.3. Control Target of the Demonstration
- 5.4. Structure of a Fuzzy Computer
- 5.5. Dream of a Fuzzy Computer
- 6. Usefulness of Uncertainty
- 6.1. Importance of Uncertainties
- 6.2. Use of Uncertainty
- 6.3. Uncertainty and Organizations
- 6.4. Uncertainty and Politicians
- 6.5. Advantages of Fuzzy Theory
- 6.6. Frequent Questions about Fuzzy Theory
- 6.7. Conclusions
