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International Conference on Rough Sets and Current Trends in Computing

RSCTC 2008: Rough Sets and Current Trends in Computing pp 31–40Cite as

Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5306))

Abstract

We take into consideration Dominance-based Rough Set Approach and its recently proposed algebraic modeling in terms of bipolar de Morgan Brower-Zadeh distributive lattice. On this basis we introduce the concept of bipolar approximation space and we show how it can be induced from a bipolar quasi Brower-Zadeh lattice.

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References

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Author information

Authors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco & Benedetto Matarazzo

  2. Institute of Computing Science, Poznań University of Technology, 60-965, Poznań, Poland

    Roman Słowiński

  3. Systems Research Institute, Polish Academy of Sciences, 01-447, Warsaw, Poland

    Roman Słowiński

Authors
  1. Salvatore Greco
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  2. Benedetto Matarazzo
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  3. Roman Słowiński
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Editor information

Editors and Affiliations

  1. Department of Computer Science, The University of Akron, OH 44325-4003, Akron, USA

    Chien-Chung Chan

  2. Department of Electrical Engineering and Computer Science, University of Kansas, KS 66045, Lawrence, USA

    Jerzy W. Grzymala-Busse

  3. Department of Computer Science, University of Regina,, S4S 0A2, Regina, Saskatchewan, Canada

    Wojciech P. Ziarko

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© 2008 Springer-Verlag Berlin Heidelberg

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Greco, S., Matarazzo, B., Słowiński, R. (2008). Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces. In: Chan, CC., Grzymala-Busse, J.W., Ziarko, W.P. (eds) Rough Sets and Current Trends in Computing. RSCTC 2008. Lecture Notes in Computer Science(), vol 5306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88425-5_4

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  • DOI: https://doi.org/10.1007/978-3-540-88425-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88423-1

  • Online ISBN: 978-3-540-88425-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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