Uncertainty in Artificial Intelligence
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Toward a Characterization of Uncertainty Measure for the Dempster-Shafer Theory
David Harmanec
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.
Keywords: Uncertainty mesure, Dempster-Shafer theory, belief functions.
Pages: 255-261
PS Link:
PDF Link: /papers/95/p255-harmanec.pdf
BibTex:
@INPROCEEDINGS{Harmanec95,
AUTHOR = "David Harmanec ",
TITLE = "Toward a Characterization of Uncertainty Measure for the Dempster-Shafer Theory",
BOOKTITLE = "Proceedings of the Eleventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-95)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1995",
PAGES = "255--261"
}


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