Uncertainty in Artificial Intelligence
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On the Combinality of Evidence in the Dempster-Shafer Theory
Lotfi Zadeh, Anca Ralescu
Abstract:
In the current versions of the Dempster-Shafer theory, the only essential restriction on the validity of the rule of combination is that the sources of evidence must be statistically independent. Under this assumption, it is permissible to apply the Dempster-Shafer rule to two or mere distinct probability distributions.
Keywords:
Pages: 347-349
PS Link:
PDF Link: /papers/86/p347-zadeh.pdf
BibTex:
@INPROCEEDINGS{Zadeh86,
AUTHOR = "Lotfi Zadeh and Anca Ralescu",
TITLE = "On the Combinality of Evidence in the Dempster-Shafer Theory",
BOOKTITLE = "Proceedings of the Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1986",
PAGES = "347--349"
}


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