Possibilistic information fusion using maximal coherent subsets

Abstract : When multiple sources provide information about the same badly known quantity, aggregating them into a coherent and interpretable synthesis is often a tedious problem, especially when some conflict is present. In this paper, we propose and explore a fusion method using the notion of maximal coherent subsets (often used in logic) on quantitative possibility distributions. This methods result, a fuzzy belief structure, is then used to extract useful information about sources or to build a final synthetic possibility distribution.
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Contributor : Sébastien Destercke <>
Submitted on : Wednesday, December 12, 2007 - 6:21:18 PM
Last modification on : Monday, April 29, 2019 - 5:23:05 PM
Long-term archiving on : Monday, April 12, 2010 - 7:14:36 AM

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Sébastien Destercke, Didier Dubois, Eric Chojnacki. Possibilistic information fusion using maximal coherent subsets. Rencontres Francophones sur la Logique Floue et ses Applications, 2007, Nimes, France. pp.259-266. ⟨irsn-00196483⟩

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