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Transforming probability intervals into other uncertainty models


Congress title :EUSFLAT (European Society for Fuzzy Logic and Technology) Conference
Congress town :Ostrava
Congress date :12/09/2007

Document type > *Congrès/colloque

Keywords > clouds, p-boxes, possibilities, probability intervals, random sets

Research Unit > IRSN/DPAM/SEMIC/LIMSI

Authors > CHOJNACKI Eric, DESTERCKE Sébastien, DUBOIS Didier

Publication Date > 14/09/2007

Summary

Probability intervals are ill-known 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.
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