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Basic Formal Properties of A Relational Model of The Mathematical Theory of Evidence

Abstract · Apr 8, 2017 10:07 ·

belief theory dempster shafer relational interpretation rough mte ster cs-ai

Arxiv Abstract

  • Mieczysław A. Kłopotek
  • Sławomir T. Wierzchoń

The paper presents a novel view of the Dempster-Shafer belief function as a measure of diversity in relational data bases. It is demonstrated that under the interpretation The Dempster rule of evidence combination corresponds to the join operator of the relational database theory. This rough-set based interpretation is qualitative in nature and can represent a number of belief function operators. The interpretation has the property that Given a definition of the belief measure of objects in the interpretation domain we can perform operations in this domain and the measure of the resulting object is derivable from measures of component objects via belief operator. We demonstrated this property for Dempster rule of combination, marginalization, Shafer’s conditioning, independent variables, Shenoy’s notion of conditional independence of variables. The interpretation is based on rough sets (in connection with decision tables), but differs from previous interpretations of this type in that it counts the diversity rather than frequencies in a decision table.

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