Possibilistic information fusion using maximal coherent subsets

— When multiple sources provide information about the same unknown quantity, their fusion into a synthetic interpretable message is often a tedious problem, especially when sources are conflicting. In this paper, we propose to use possibility theory and the notion of maximal coherent subsets, often used in logic-based representations, to build a fuzzy belief structure that will be instrumental both for extracting useful information about various features of the information conveyed by the sources and for compressing this information into a unique possibility distribution.

• Type: Conference
• Year: 2007
• Where: FUZZIEEE
• Authors: Sébastien Destercke, Didier Dubois, Eric Chojnacki
• Keywords: Artificial Intelligence, FUZZIEEE 2007, Maximal Coherent Subsets, Sources Provide Information, Synthetic Interpretable Message