ISIPTA'09 - SIXTH INTERNATIONAL SYMPOSIUM ON
IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS

Durham University, Department of Mathematical Sciences
Durham, United Kingdom
Tuesday 14 to Saturday 18 July 2009

ELECTRONIC PROCEEDINGS

Alessio Benavoli, Alessandro Antonucci

Aggregating Imprecise Probabilistic Knowledge

Abstract

The problem of aggregating two or more sources of information containing knowledge about a same domain is considered. We propose an aggregation rule for the case where the available information is modeled by coherent lower previsions, corresponding to convex sets of probability mass functions. The consistency between aggregated beliefs and sources of information is discussed. A closed formula, which specializes our rule to a particular class of models, is also derived. Finally, an alternative explanation of Zadeh's paradox is provided.

Keywords. Information fusion, coherent lower previsions, independent natural extension, generalized Bayes rule

Paper Download

The paper is availabe in the following formats:

Plenary talk : Press here to get the file of the presentation.

Poster : Press here to get the file of the poster.


Authors addresses:

Alessio Benavoli
Galleria 2
6928 Manno

Alessandro Antonucci
c/o IDSIA
Galleria 2
CH-6928 Manno (Lugano)

E-mail addresses:

Alessio Benavoli alessio@idsia.ch
Alessandro Antonucci alessandro@idsia.ch


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