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International Conference on Intelligent Computing

ICIC 2011: Bio-Inspired Computing and Applications pp 657–664Cite as

The Models of Dominance–Based Multigranulation Rough Sets

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

Abstract

In this paper, the dominance–based rough set approach is introduced into multigranulation environment. Two different dominance–based multigranulation rough sets models: dominance–based optimistic multigranulation rough set and dominance–based pessimistic multigranulation rough set are constructed, respectively. Not only the properties of these two dominance–based multigranulation rough sets are discussed, but also the relationships among dominance–based optimistic multigranulation rough set, dominance–based pessimistic multigranulation rough set and the classical dominance–based rough set are investigated.

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Author information

Authors and Affiliations

  1. Jiangsu Sunboon Information Technology Co., Ltd., Wuxi, Jiangsu, 214072, P.R. China

    Xibei Yang

Authors
  1. 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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Yang, X. (2012). The Models of Dominance–Based Multigranulation Rough Sets. 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_87

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  • DOI: https://doi.org/10.1007/978-3-642-24553-4_87

  • 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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