Propositional merging operators based on set-theoretic closeness

In the propositional setting, a well-studied family of merging operators are distance-based ones: the models of the merged base are the closest interpretations to the given profile. Closeness is, in this context, measured as a number resulting from the aggregation of the distances to each base of the profile. In this work we define a new familly of propositional merging operators, close to such distance-based merging operators, but relying on a set-theoretic definition of closeness, already at work in several revision/update operators from the literature. We study a specific merging operator of this family, obtained by considering set-product as the aggregation function.

• Type: Conference
• Year: 2008
• Where: ECAI
• Authors: Patricia Everaere, Sébastien Konieczny, Pierre Marquis
• Keywords: Artificial Intelligence, Distance-based Merging Operators, ECAI 2008, Merging Operator, Propositional Merging Operators