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Aggregation of expert opinions and uncertainty theories

Sébastien Destercke 1, 2 Didier Dubois 1, 3 Eric Chojnacki 2
1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
IRIT - Institut de recherche en informatique de Toulouse
2 IRSN - Institut de Radioprotection et de Sûreté Nucléaire
3 CNRS - Centre National de la Recherche Scientifique
Abstract : The problem of expert opinions representation and aggregation has long been adressed in the only framework of probability theory. Nevertheless, recent years have witnessed many proposals in other uncertainty theories (possibility theory, evidence theory, imprecise probabilities). This paper casts the problem of aggregating expert opinions in a common underlying framework and shows how uncertainty theories fit into this framework. Differences between theories are then emphasized and discussed.
Keywords : Expert opinions fusion possibility theory belief functions imprecise probabilities
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Contributor : Sébastien Destercke <>
Submitted on : Wednesday, December 12, 2007 - 6:14:59 PM
Last modification on : Wednesday, June 9, 2021 - 10:00:24 AM
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  • HAL Id : irsn-00196474, version 1

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Sébastien Destercke, Didier Dubois, Eric Chojnacki. Aggregation of expert opinions and uncertainty theories. Rencontres Francophones sur la Logique Floue et ses Applications, 2006, Toulouse, France. pp.295-302. ⟨irsn-00196474⟩

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