FIRST INTERNATIONAL SYMPOSIUM ON
IMPRECISE PROBABILITIES AND THEIR APPLICATIONS

Ghent, Belgium
30 June - 2 July 1999

ELECTRONIC PROCEEDINGS

Alain Chateauneuf and Jean-Christophe Vergnaud

Ambiguity Reduction Through new Statistical Data

Abstract

We provide some objective foundations for a belief revision process in a situation where i)the decision maker's initial probabilistic knowledge is imprecise and characterized by the core of a belief function; ii)expected new data are themselves consistent with a belief function with known focal sets and iii) is based on belief function combination. We study the properties of the information value for such revising in the GILBOA - SCHMEIDLER multi-prior model.

Keywords. revising, information value, belief function

The paper is available in the following formats and sites:

Authors addresses:

Alain Chateauneuf

CERMSEM, Université de Paris I, 106-112, Bld de l'Hopital, Paris 75647, Cedex 13, France.

Jean-Christophe Vergnaud

EUREQUA, Université de Paris I, 106-112, Bld de l'Hopital, Paris 75647, Cedex 13, France.

E-mail addresses:

Alain Chateauneuf chateaun@univ-paris1.fr
Jean-Christophe Vergnaud vergnaud@univ-paris1.fr


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