Introduction to the ER Rule for Evidence Combination
نویسندگان
چکیده
The Evidential Reasoning (ER) approach has been developed to support multiple criteria decision making (MCDM ) under uncertainty. It is built upon Dempster’s rule for evidence combination and uses belief functions for dealing with probabilistic uncertainty and ignorance. In this introductory paper, following a brief introduction to Dempster’s rule and the ER approach, we report the discovery of a new generic ER rule for evidence combination [16]. We first introduce the concepts and equations of a new extended belief function and then examine the detailed combination equations of the new ER rule. A numerical example is provided to illustrate the new ER rule.
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