Qualitative Operators for Dealing with Uncertainty - Archive ouverte HAL
Communication Dans Un Congrès Année : 1998

Qualitative Operators for Dealing with Uncertainty

Résumé

In Bayesian networks as well as in knowledge based systems, uncertainty in propositions can be represe nt d by degrees of belief encoded by qualitative values. In this paper, we present an alternative approach to classic probability theory in the particular case where the set of probability degrees [0,1] is replaced by a tot lly ordered set of symbolic values. After having defined the fo ur most expressive symbolic elementary operations ( addition, subtraction, multiplication and division) allowing to manipulate these qualitative degrees of uncertai nty, an axiomatic is proposed.
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Dates et versions

hal-01617397 , version 1 (16-10-2017)

Identifiants

  • HAL Id : hal-01617397 , version 1

Citer

Hamid Seridi, Florence Dupin de Saint-Cyr, Herman Akdag. Qualitative Operators for Dealing with Uncertainty. 5th International Worshop "Fuzzy-Neuro Systems" (1998), Mar 1998, Munich, Germany. ⟨hal-01617397⟩
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