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Journal Articles International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Year : 2003

A big-stepped probability approach for discovering default rules

Abstract

This paper deals with the extraction of default rules from a database of examples. The proposed approach is based on a special kind of probability distributions, called "big-stepped probabilities", which are known to provide a semantics for non-monotonic reasoning. The rules which are learnt are genuine default rules, which could be used (under some conditions) in a non-monotonic reasoning system and can be encoded in possibilistic logic.
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Dates and versions

hal-03299557 , version 1 (26-07-2021)

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Salem Benferhat, Didier Dubois, Sylvain Lagrue, Henri Prade. A big-stepped probability approach for discovering default rules. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003, 11 (sppl. 01), pp.1-14. ⟨10.1142/S0218488503002235⟩. ⟨hal-03299557⟩
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