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42046 - Fuzzy Logic (LD) [UB]

Type: S3 Course
Semester: Spring (not offered in course 2010/2011)
Teaching Points: 15
Offer: Annual
Responsible Unit: UB
Responsible: Ventura Verdú
Language: English

  • To introduce the basic concepts and techniques of Fuzzy Logic.
  • To present Fuzzy Logic as a plausible model for the treatment of vagueness.
  • To obtain a well founded logic theoretic background for approximate reasoning.
  • To present some applications of fuzzy logic to the approximate reasoning


1. Introduction. Background on Classical logic

2. Classical logic and many-valued logics

3. Two versions of Fuzzy Logic: The wide sense (Zadeh) and the narrow sense (Hájek).

4. The real interval [0,1] as a set of truth values for fuzzy logics. Triangular norms and their residua.

5. Distinct views of fuzzy logics based on triangular norms: Tautologies and consequence relations.

6. The three main basic logics: Gödel logic, Lukasiewicz logic and Product logic.

7. The calculi. Axiomatic extensions

8. Application to fuzzy rules.

9. Complexity of the three main basic logics.

10. First order Fuzzy Logic

11. Fuzzy Prolog.

12. Description Logics and web semantics.


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  • S. Gotwald and P. Hájek. Triangular norm based mathematical fuzzy logic. In E. P. Klement nad R. Mesiar, editors, Logical Algebraic, Analytic and Probabilistic Aspects of Triangular Norms, pages 275-300, Elsevier, Amsterdam, 2005.
  • P. Hájek. Metamathematics of Fuzzy Logic, Trend in Logic, vol. 4, Kluwer, Dodrecht, 1998.
  • P. Kájek. Making fuzzy description logic more general. Fuzzy Sets and Systems, 154, 1-15, 2005.
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