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Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based on Maximal Descriptors

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Rough Sets (IJCRS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10314))

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Abstract

This paper investigates decision-theoretic rough set approach in the frameworks of multi-covering approximation space. We mainly discuss optimistic multigranulation decision-theoretic rough sets by employing maximal descriptors of elements. First, we present the definitions of covering-based optimistic multigranulation decision-theoretic rough sets on the basis of Bayesian decision procedure. Then, we disclose some important and interesting 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 Science Foundation under Grant Nos.: 61663002, 61403329, 61305052 and Jiangxi Province Natural Science Foundation of China under Grant No.: 20171BAB202034.

Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, 341000, Jiangxi, China

    Caihui Liu

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

    Meizhi Wang

  3. School of Computer and Control Engineering, Yantai University, Yantai, 264005, Shandong, China

    Nan Zhang

Authors
  1. Caihui Liu
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  2. Meizhi Wang
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  3. Nan Zhang
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Corresponding author

Correspondence to Caihui Liu .

Editor information

Editors and Affiliations

  1. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Lech Polkowski

  2. University of Regina, Regina, Saskatchewan, Canada

    Yiyu Yao

  3. University of Warmia and Mazury, Olsztyn, Poland

    Piotr Artiemjew

  4. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  5. Southwest Jiaotong University, Chengdu, China

    Dun Liu

  6. Warsaw University, Warszawa, Poland

    Dominik Ślęzak

  7. Silesian University, Sosnowiec, Poland

    Beata Zielosko

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Liu, C., Wang, M., Zhang, N. (2017). Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based on Maximal Descriptors. In: Polkowski, L., et al. Rough Sets. IJCRS 2017. Lecture Notes in Computer Science(), vol 10314. Springer, Cham. https://doi.org/10.1007/978-3-319-60840-2_17

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  • DOI: https://doi.org/10.1007/978-3-319-60840-2_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60839-6

  • Online ISBN: 978-3-319-60840-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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