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Possibilistic information fusion using maximal coherent subsets

Abstract : 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.
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Contributor : Sébastien Destercke Connect in order to contact the contributor
Submitted on : Thursday, December 13, 2007 - 10:10:37 AM
Last modification on : Tuesday, October 19, 2021 - 2:23:10 PM
Long-term archiving on: : Monday, April 12, 2010 - 7:18:57 AM


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Sébastien Destercke, Didier Dubois, Eric Chojnacki. Possibilistic information fusion using maximal coherent subsets. 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⟩



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