Uncertainty in Artificial Intelligence
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A Belief-Function Based Decision Support System
Hong Xu, Yen-Teh Hsia, Philippe Smets
Abstract:
In this paper, we present a decision support system based on belief functions and the pignistic transformation. The system is an integration of an evidential system for belief function propagation and a valuation-based system for Bayesian decision analysis. The two subsystems are connected through the pignistic transformation. The system takes as inputs the user's "gut feelings" about a situation and suggests what, if any, are to be tested and in what order, and it does so with a user friendly interface.
Keywords:
Pages: 535-542
PS Link:
PDF Link: /papers/93/p535-xu.pdf
BibTex:
@INPROCEEDINGS{Xu93,
AUTHOR = "Hong Xu and Yen-Teh Hsia and Philippe Smets",
TITLE = "A Belief-Function Based Decision Support System",
BOOKTITLE = "Proceedings of the Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-93)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1993",
PAGES = "535--542"
}


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