Uncertainty in Artificial Intelligence
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A General Approach to Decision Making with Evidential Knowledge
Ronald Yager
Abstract:
We discuss the problem of selecting an optimal alternative in the face of uncertain knowledge about the state of nature. We then introduce a general framework for representing the knowledge about the state of nature. This general framework is based upon the use of fuzzy sets, possibility theory and the Dempster-Shafer mathematical theory of evidence. We then suggest an approach to the selection of an optimal alternative in this more general framework.
Keywords: Uncertain Knowledge, Fuzzy Sets, Probability Theory, Dempster-Shafer
Pages: 317-327
PS Link:
PDF Link: /papers/85/p317-yager.pdf
BibTex:
@INPROCEEDINGS{Yager85,
AUTHOR = "Ronald Yager ",
TITLE = "A General Approach to Decision Making with Evidential Knowledge",
BOOKTITLE = "Uncertainty in Artificial Intelligence Annual Conference on Uncertainty in Artificial Intelligence (UAI-85)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1985",
PAGES = "317--327"
}


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