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Ambiguity reduction through new statistical data
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DOI：10.1016/S0888-613X(00)00040-2.png)
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Abstract
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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) the revision process is based on belief function combination. We study the properties of the information value for such a revising in the Gilboa-Schmeidler multi-prior model. (C) 2000 Elsevier Science Inc. All rights reserved.
Keywords:
revising
information value
belief function
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