Possibilistic information fusion using maximal coherent subsets (FUZZ- IEEE 2007)

Sébastien Destercke (1, 2) , Didier Dubois (1, 3) , Eric Chojnacki (2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 IRSN - Institut de Radioprotection et de Sûreté Nucléaire
3 CNRS - Centre National de la Recherche Scientifique

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.

Mots clés: information fusion; maximal coherent subsets; conflict; fuzzy belief structure; possibility; possibility theory; uncertainty

Domaines: Informatique [cs]

Sébastien Destercke, Didier Dubois, Eric Chojnacki. Possibilistic information fusion using maximal coherent subsets (FUZZ- IEEE 2007). IEEE International Confernence on Fuzzy Systems Conference, 2007 (FUZZ- IEEE 2007), IEEE, Jul 2007, London, United Kingdom. pp.1-6, ⟨10.1109/FUZZY.2007.4295407⟩. ⟨irsn-00196586⟩