论文信息 - A New Qualitative Rough-Set Approach to Modeling Belief Functions

A New Qualitative Rough-Set Approach to Modeling Belief Functions

The paper presents a novel view of the Dempster-Shafer belief function as a measure of diversity in relational data bases. 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.

Slawomir T. Wierzchon | Mieczyslaw A. Klopotek | S. Wierzchon | M. Klopotek

[1] Andrzej Skowron,et al. From the Rough Set Theory to the Evidence Theory , 1991 .

[2] Yiyu Yao,et al. Interpretation of Belief Functions in The Theory of Rough Sets , 1998, Inf. Sci..

[3] Philippe Smets,et al. Resolving misunderstandings about belief functions , 1992, Int. J. Approx. Reason..

[4] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[5] Tsau Young Lin. From Rough Sets of Soft Computing: Introduction , 1998, Inf. Sci..

[6] J. Kacprzyk,et al. Advances in the Dempster-Shafer theory of evidence , 1994 .

[7] Søren Vang,et al. SQL and relational databases , 1991 .