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Possibilistic Information Fusion Using Maximal Coherent Subsets

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3 Author(s)
Sebastien Destercke ; Inst. de Rech. en Inf. de Toulouse, Univ. de Toulouse, Toulouse ; Didier Dubois ; Eric Chojnacki

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

Published in:

IEEE Transactions on Fuzzy Systems  (Volume:17 ,  Issue: 1 )