Uncertainty in Artificial Intelligence
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Deriving And Combining Continuous Possibility Functions in the Framework of Evidential Reasoning
Pascal Fua
Abstract:
To develop an approach to utilizing continuous statistical information within the Dempster- Shafer framework, we combine methods proposed by Strat and by Shafero We first derive continuous possibility and mass functions from probability-density functions. Then we propose a rule for combining such evidence that is simpler and more efficiently computed than Dempster's rule. We discuss the relationship between Dempster's rule and our proposed rule for combining evidence over continuous frames.
Keywords:
Pages: 85-90
PS Link:
PDF Link: /papers/86/p85-fua.pdf
BibTex:
@INPROCEEDINGS{Fua86,
AUTHOR = "Pascal Fua ",
TITLE = "Deriving And Combining Continuous Possibility Functions in the Framework of Evidential Reasoning",
BOOKTITLE = "Proceedings of the Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1986",
PAGES = "85--90"
}


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