Uncertainty in Artificial Intelligence
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A Defect in Dempster-Shafer Theory
Pei Wang
Abstract:
By analyzing the relationships among chance, weight of evidence and degree of beliefwe show that the assertion "probability functions are special cases of belief functions" and the assertion "Dempster's rule can be used to combine belief functions based on distinct bodies of evidence" together lead to an inconsistency in Dempster-Shafer theory. To solve this problem, we must reject some fundamental postulates of the theory. We introduce a new approach for uncertainty management that shares many intuitive ideas with D-S theory, while avoiding this problem.
Keywords: Inconsistency in Dempster-Shafer theory, belief function, probability, weight of evid
Pages: 560-566
PS Link: ftp://cogsci.indiana.edu/pub/wang.dempster.ps
PDF Link: /papers/94/p560-wang.pdf
BibTex:
@INPROCEEDINGS{Wang94,
AUTHOR = "Pei Wang ",
TITLE = "A Defect in Dempster-Shafer Theory",
BOOKTITLE = "Proceedings of the Tenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-94)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1994",
PAGES = "560--566"
}


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