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International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing

RSFDGrC 2003: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing pp 312–315Cite as

Variable Precision Bayesian Rough Set Model

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

Abstract

We present a parametric extension of the Bayesian Rough Set (BRS) model. Its properties are investigated in relation to non-parametric BRS, classical Rough Set (RS) model and the Variable Precision Rough Set (VPRS) model.

Supported by the research grant of the Research Centre of PJIIT, as well as the research grant of the Natural Sciences and Engineering Research Council of Canada.

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References

  1. Box, G.E.P., Tiao, G.C.: Bayesian Inference in Statistical Analysis. Wiley (1992).

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  2. Katzberg, J. Ziarko, W.: Variable precision rough sets with asymmetric bounds. In: Proc. of the International Workshop on Rough Sets and Knowledge Discovery (RSKD’93) (1993) pp. 163–191.

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  3. Pawlak, Z.: Rough sets — Theoretical aspects of reasoning about data. Kluwer Academic Publishers (1991).

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  4. Ślęzak, D., Ziarko, W.: Bayesian Rough Set Model. In: Proc. of the International Workshop on Foundation of Data Mining and Discovery (FDM’2002). December 9, Maebashi, Japan (2002) pp. 131–135.

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  5. Ziarko, W.: Variable Precision Rough Sets Model. Journal of Computer and Systems Sciences, vol. 46. no. 1, (1993) pp. 39–59.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada

    Dominik Ślęzak & Wojciech Ziarko

  2. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Dominik Ślęzak

Authors
  1. Dominik Ślęzak
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  2. Wojciech Ziarko
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Editor information

Editors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Guoyin Wang

  2. Department of Computer Science, Nanchang University, Nanchang, 330029, P.R. China

    Qing Liu

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

    Yiyu Yao

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

    Andrzej Skowron

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© 2003 Springer-Verlag Berlin Heidelberg

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Ślęzak, D., Ziarko, W. (2003). Variable Precision Bayesian Rough Set Model. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_46

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  • DOI: https://doi.org/10.1007/3-540-39205-X_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

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