Fuzzy logic for beginners

Physical dimension

Summary / review / 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.

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