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International Conference on Rough Sets and Current Trends in Computing

RSCTC 1998: Rough Sets and Current Trends in Computing pp 346–354Cite as

A New Qualitative Rough-Set Approach to Modeling Belief Functions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1424))

Abstract

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.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland

    Mieczysław A. Kłopotek & Sławomir T. Wierzchoń

Authors
  1. Mieczysław A. Kłopotek
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  2. Sławomir T. Wierzchoń
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Editor information

Editors and Affiliations

  1. Institute of Mathematics, Warsaw University of Technology, Pl. Politechniki 1, 00-665, Warszawa, Poland

    Lech Polkowski

  2. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warszawa, Poland

    Andrzej Skowron

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© 1998 Springer-Verlag Berlin Heidelberg

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Kłopotek, M.A., Wierzchoń, S.T. (1998). A New Qualitative Rough-Set Approach to Modeling Belief Functions. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_47

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  • DOI: https://doi.org/10.1007/3-540-69115-4_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64655-6

  • Online ISBN: 978-3-540-69115-0

  • eBook Packages: Springer Book Archive

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