Skip to Main content Skip to Navigation
Conference papers

Transforming probability intervals into other uncertainty models

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.
Document type :
Conference papers
Complete list of metadata
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


Explicit agreement for this submission


  • HAL Id : irsn-00196700, version 1


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⟩



Record views


Files downloads