A General Approach to Decision Making with Evidential Knowledge
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
PDF Link: /papers/85/p317-yager.pdf
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"