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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Submitted on : Thursday, December 13, 2007 - 10:10:37 AM
Last modification on : Monday, April 29, 2019 - 5:23:25 PM
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Sébastien Destercke, Didier Dubois, Eric Chojnacki. Possibilistic information fusion using maximal coherent subsets. Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International, 2007, London, United Kingdom. pp.1-6, ⟨10.1109/FUZZY.2007.4295407⟩. ⟨irsn-00196586⟩

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