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Transforming probability intervals into other uncertainty models

Sébastien Destercke 1, 2 Didier Dubois 2, 3 Eric Chojnacki 1
1 IRSN - Institut de Radioprotection et de Sûreté Nucléaire
2 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
IRIT - Institut de recherche en informatique de Toulouse
3 CNRS - Centre National de la Recherche Scientifique
Abstract : Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are confidence intervals on parameters of multinomial distributions built from sample data and expert opinions provided in terms of such intervals. In this paper, we study how probability intervals can be transformed into other uncertainty models such as possibility distributions, Ferson's p-boxes, random sets and Neumaier's clouds.
Keywords : Probability intervals random sets possibility p-boxes clouds
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Conference papers
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https://hal-irsn.archives-ouvertes.fr/irsn-00196700
Contributor : Sébastien Destercke <>
Submitted on : Thursday, December 13, 2007 - 12:17:42 PM
Last modification on : Wednesday, September 15, 2021 - 10:42:35 AM
Long-term archiving on: : Monday, April 12, 2010 - 7:21:51 AM

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  • HAL Id : irsn-00196700, version 1

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Sébastien Destercke, Didier Dubois, Eric Chojnacki. Transforming probability intervals into other uncertainty models. EUSFLAT 2007 proceedings, 2007, Ostrava, Czech Republic. pp.367-373. ⟨irsn-00196700⟩

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