Syntactic combination of uncertain information : Possibilistic approach

Salem Benferhat (1) , Didier Dubois (1, 2) , Henri Prade (1, 2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 CNRS - Centre National de la Recherche Scientifique

This paper proposes syntactic combination rules for merging uncertain propositional knowledge bases provided by different sources of information, in the framework of possibilistic logic. These rules are the counterparts of combination rules which can be applied to the possibility distributions (defined on the set of possible worlds), which represent the semantics of each propositional knowledge base. Combination modes taking into account the levels of conflict, the relative reliability of the sources, or having reinforcement effects are considered.

Domaines: Intelligence artificielle [cs.AI]

Salem Benferhat, Didier Dubois, Henri Prade. Syntactic combination of uncertain information : Possibilistic approach. 1st International Joint Conference on Qualitative and quantitative practical reasoning (ECSQARU/FAPR 1997), Jun 1997, Bad Honnef, Germany. pp.30-42, ⟨10.1007/BFb0035610⟩. ⟨hal-03299834⟩