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Fuzzy logic and Uncertainty| old_uid | 3481 |
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| title | Fuzzy logic and Uncertainty |
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| start_date | 2007/11/19 |
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| schedule | 14h-16h |
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| online | no |
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| summary | Fuzzy logic is based on the fuzzy set theory (Zadeh 1965). In the classical set the value of membership function of an element is 0 or 1, while in the fuzzy set the membership function of an element may have limited or infinite values that are between 0 and 1. Therefore in the fuzzy logic systems partially true premises provide partially true conclusions. The FL system is a simple model of fuzzy logic: connectives, inference rules and examples of inferences will be discussed. Is fuzzy logic against the principles of classical logic or is it an extension of classical logic? Probabilistic and fuzzy logic deals with uncertainty: is probabilistic logic reducible to fuzzy logic? What does it mean? The opinions of B. Kosko, of B. de Finetti and of L.A. Zadeh will be discussed. |
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| responsibles | Bonnay, Sandu |
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