Jeffrey's rule of conditioning generalized to belief functions

Philippe Smets

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arXiv · 1303.1514

Jeffrey's rule of conditioning generalized to belief functions

Philippe Smets

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Abstract

Jeffrey's rule of conditioning has been proposed in order to revise a probability measure by another probability function. We generalize it within the framework of the models based on belief functions. We show that several forms of Jeffrey's conditionings can be defined that correspond to the geometrical rule of conditioning and to Dempster's rule of conditioning, respectively.

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Philippe Smets. 2013-03-06. Jeffrey's rule of conditioning generalized to belief functions. https://arxiv.org/abs/1303.1514

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