Unifying Practical Uncertainty Representations: II. Clouds

dc.creatorDestercke, Sebastien
dc.creatorDubois, Didier
dc.creatorChojnacki, Eric
dc.date2008-08-20
dc.date.accessioned2026-07-07T09:57:32Z
dc.date.available2026-07-07T09:57:32Z
dc.descriptionThere exist many simple tools for jointly capturing variability and incomplete information by means of uncertainty representations. Among them are random sets, possibility distributions, probability intervals, and the more recent Ferson's p-boxes and Neumaier's clouds, both defined by pairs of possibility distributions. In the companion paper, we have extensively studied a generalized form of p-box and situated it with respect to other models . This paper focuses on the links between clouds and other representations. Generalized p-boxes are shown to be clouds with comonotonic distributions. In general, clouds cannot always be represented by random sets, in fact not even by 2-monotone (convex) capacities.
dc.description30 pages, 7 figures, Pre-print of journal paper to be published in International Journal of Approximate Reasoning (with expanded section concerning clouds and probability intervals)
dc.identifierhttps://arxiv.org/abs/0808.2779
dc.identifierhttp://arxiv.org/abs/0808.2779
dc.identifierdoi:10.1016/j.ijar.2008.07.004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/167376
dc.subjectProbability
dc.subjectStatistics Theory
dc.titleUnifying Practical Uncertainty Representations: II. Clouds
dc.typetext

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