Toward a characterization of uncertainty measure for the dempster-shafer theory

Authors:
David Harmanec
Affiliations:
Department of Systems Science and Industrial Engineering, Binghamton University, SUNY, Binghamton, New York
Venue:
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Year:
1995

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Abstract

This is a working paper summarizing results of an ongoing research project whose aim is to uniquely characterize the uncertainty measure for the Dempster-Shafer Theory. A set of intuitive axiomatic requirements is presented, some of their implications are shown, and the proof is given of the minimality of recently proposed measure AU among all measures satisfying the proposed requirements.