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Possibilistic information fusion using maximal coherent subsets (LFA 2007)

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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https://hal-irsn.archives-ouvertes.fr/irsn-00196483
Contributor : Sébastien Destercke <>
Submitted on : Wednesday, December 12, 2007 - 6:21:18 PM
Last modification on : Wednesday, June 9, 2021 - 10:00:24 AM
Long-term archiving on: : Monday, April 12, 2010 - 7:14:36 AM

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  • HAL Id : irsn-00196483, version 1

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

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