In this paper we are going to show a new way to find a consistent com- promise among different opinions expressed through conditional probability assessments. This procedure will profit from the nice properties of a discrepancy measure among partial conditional probability assessments already introduced to adjust incoherent assessments. The use of such discrepancy for this further goal will be described through exemplifying examples.
Merging different probabilistic information sources through a new discrepancy measure
CAPOTORTI, Andrea;REGOLI, Giuliana;VATTARI, FRANCESCA
2009
Abstract
In this paper we are going to show a new way to find a consistent com- promise among different opinions expressed through conditional probability assessments. This procedure will profit from the nice properties of a discrepancy measure among partial conditional probability assessments already introduced to adjust incoherent assessments. The use of such discrepancy for this further goal will be described through exemplifying examples.File in questo prodotto:
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