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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 : Friday, December 4, 2020 - 10:37:59 AM
Long-term archiving on: : Monday, April 12, 2010 - 7:14:36 AM


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  • HAL Id : irsn-00196483, version 1


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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