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A Variable Muitlgranulation Rough Sets Approach

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Bio-Inspired Computing and Applications (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6840))

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Abstract

By analyzing the limitations of optimistic multigranulation rough set and pessimistic multigranulation rough set, the concept of the variable multigranulation rough set is proposed. Such multigranulation rough set is a generalization of both optimistic and pessimistic multigranulation rough set. Furthermore, not only the basic properties about the variable multigranulation rough set is discussed, but also the relationships among optimistic, pessimistic and variable multigranulation rough sets are deeply explored. These results are meaningful for the development of multigranulation rough set theory.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, P.R. China

    Ming Zhang & Zhenmin Tang

  2. School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

    Ming Zhang & Xibei yang

  3. School of Mathematics and Physics, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, P.R. China

    Weiyan Xu

Authors
  1. Ming Zhang
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  2. Zhenmin Tang
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  3. Weiyan Xu
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  4. Xibei yang
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, 2522, P.O. Box, North Wollongong, NSW, Australia

    Prashan Premaratne

  4. School of Computer Science and Engineering, Inha University, 402-751, Inchon, Korea

    Kyungsook Han

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, M., Tang, Z., Xu, W., yang, X. (2012). A Variable Muitlgranulation Rough Sets Approach. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_43

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  • DOI: https://doi.org/10.1007/978-3-642-24553-4_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24552-7

  • Online ISBN: 978-3-642-24553-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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