From semantic to syntactic approaches to Information combination in possibilistic logic

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

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage

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.

Keywords: Belief Revision; Combination Rule; Possibility Distribution; Combination Mode; Possibilistic Logic

Domains: Artificial Intelligence [cs.AI]

Salem Benferhat, Didier Dubois, Henri Prade. From semantic to syntactic approaches to Information combination in possibilistic logic. Bernadette Bouchon-Meunier. Aggregation and Fusion of Imperfect Information, 12, Physica, Heidelberg, pp.141-151, 1998, Studies in Fuzziness and Soft Computing book series (STUDFUZZ), 978-3-7908-1889-5. ⟨10.1007/978-3-7908-1889-5_9⟩. ⟨hal-03300223⟩