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Optimistic Decision-Theoretic Rough Sets in Multi-covering Space

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Rough Sets (IJCRS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9920))

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Abstract

This paper discusses optimistic multigranulation decision-theoretic rough sets in multi-covering space. First, by using the strategy “seeking commonality while preserving difference”, we propose the notion of optimistic multigranulation decision-theoretic rough sets on the basis of Bayesian decision procedure. Then, we investigate some important properties of the model. Finally, we investigate the relationships between the proposed model and other related rough set models.

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Acknowledgements

This work was supported by the China National Natural Science Foundation of Youth Science Foundation under Grant No.: 61305052, 61403329, the Key Technology Research and Development Program of Education Bureau of Jiangxi Province of China under Grant No.: GJJ14660, the Key Technology Research and Development Program of Jiangxi Province of China under Grant No.: 20142BBF60010, 20151BBF60071.

Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, 341000, Jiangxi Province, People’s Republic of China

    Caihui Liu

  2. Department of Physical Education, Gannan Normal University, Ganzhou, 341000, China

    Meizhi Wang

Authors
  1. Caihui Liu
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  2. Meizhi Wang
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Corresponding author

Correspondence to Caihui Liu .

Editor information

Editors and Affiliations

  1. Universidad Católica del Norte, Antofagasta, Chile

    Víctor Flores

  2. University of Campinas, Campinas, SP, Brazil

    Fernando Gomide

  3. University of Warsaw, Warsaw, Poland

    Andrzej Janusz

  4. Universidad del Católica del Norte, Antofagasta, Chile

    Claudio Meneses

  5. Tongji University, Shanghai, China

    Duoqian Miao

  6. University of Applied Sciences, Munich, Germany

    Georg Peters

  7. University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  8. Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  9. Universidad de Chile, Santiago, Chile

    Richard Weber

  10. University of Regina, Regina, Saskatchewan, Canada

    Yiyu Yao

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Liu, C., Wang, M. (2016). Optimistic Decision-Theoretic Rough Sets in Multi-covering Space. In: Flores, V., et al. Rough Sets. IJCRS 2016. Lecture Notes in Computer Science(), vol 9920. Springer, Cham. https://doi.org/10.1007/978-3-319-47160-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-47160-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47159-4

  • Online ISBN: 978-3-319-47160-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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