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Simple View of the Dempster-Shafer Theory of Evidence and Its Implication for the Rule of Combination

机译:简论Dempster-shafer证据理论及其对组合规则的启示

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摘要

During the past two years, the Dempster-Shafer theory of evidence has attracted considerable attention within the AI community as a promisisng method of dealing with uncertainty in expert systems. As presented in the literature, the theory is hard to master. In a simple approach that is outlined in this paper, the Dempster-Shafer theory is viewed in the context of relational databases as the application of familiar retrieval techniques to second-order relations, that is, relations in which the data entries are relations in first normal form. The relational viewpoint clarifies some of the controversial issues in the Dempster-Shafer theory and facilitates its use in AI-oriented applications.

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