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A Variable Precision Covering Generalized Rough Set Model

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Rough Sets and Knowledge Technology (RSKT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6954))

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Abstract

The covering generalized rough sets are an improvement of traditional rough set model to deal with more complex practical problems which the traditional one cannot handle. A variable precision extension of a covering generalized rough set model is proposed in this paper. Some properties are investigated.

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Author information

Authors and Affiliations

  1. Information Science School, Guangdong University of Business Studies, Guangzhou, 510320, China

    Xinwei Zheng

  2. School of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China

    Jian-Hua Dai

Authors
  1. Xinwei Zheng
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  2. Jian-Hua Dai
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Editor information

Editors and Affiliations

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

    JingTao Yao

  2. Department of Applied Computer Science, University of Winnipeg, R3B 2E9, Winnipeg, Canada

    Sheela Ramanna

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

    Guoyin Wang

  4. Chair of Computer Science, University of Rzeszów, Poland

    Zbigniew Suraj

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© 2011 Springer-Verlag Berlin Heidelberg

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Zheng, X., Dai, JH. (2011). A Variable Precision Covering Generalized Rough Set Model. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-24425-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24424-7

  • Online ISBN: 978-3-642-24425-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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