Using Dempster-Shafer Theory in Data Mining

Using Dempster-Shafer Theory in Data Mining

Malcolm J. Beynon (Cardiff University, UK)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch219
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Abstract

The origins of Dempster-Shafer theory (DST) go back to the work by Dempster (1967) who developed a system of upper and lower probabilities. Following this, his student Shafer (1976), in his book “A Mathematical Theory of Evidence” added to Dempster’s work, including a more thorough explanation of belief functions. In summary, it is a methodology for evidential reasoning, manipulating uncertainty and capable of representing partial knowledge (Haenni & Lehmann, 2002; Kulasekere, Premaratne, Dewasurendra, Shyu, & Bauer, 2004; Scotney & McClean, 2003).

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