1996 | OriginalPaper | Buchkapitel
Ploxoma: Testbed for Uncertain Inference
verfasst von : H. Blau
Erschienen in: Learning from Data
Verlag: Springer New York
Enthalten in: Professional Book Archive
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This paper compares two formalisms for uncertain inference, Kyburg’s Combinatorial Semantics and Dempster-Shafer belief function theory, on the basis of an example from the domain of medical diagnosis. I review Shafer’s example about the imaginary disease ploxoma and show how it would be represented in Combinatorial Semantics. I conclude that belief function theory has a qualitative advantage because it offers greater flexibility of expression, and provides results about more specific classes of patients. Nevertheless, a quantitative comparison reveals that the inferences sanctioned by Combinatorial Semantics are more reliable than those of belief function theory.