ON THE RELATIONSHIP OF METHODS OF AGGREGATING EVIDENCE IN EXPERT SYSTEMS

Ronald R. Yager

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Multi-Criteria Decision Making Logic, Reasoning, and Knowledge Bayesian Modeling and Causal Inference

Abstract

We show how Shafer's concepts of plausibility and belief can be derived as a special case of the compatibility of a linguistically quantified statement with a data base consisting of an expert's fragmented opinion as to the location of a special element. We also show that probability is the compatibility of a linguistically quantified statement about truth with this data base. Based upon these ideas we provide some alternative methods to Dempster's rule for combining evidence.

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1983Quantifiers in the formulation of multiple objective decision functions

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2006Adaptative combination rule and proportional conflict redistribution rule for information fusion 2001Representation, Elicitation, and Aggregation of Uncertainty in Risk Analysis - from Traditional Probabilistic Techniques to More General, More Realistic Approaches: A Survey

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