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A Multi-granulation Model under Dominance-Based Rough Set Approach

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Rough Sets and Current Trends in Computing (RSCTC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7413))

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Abstract

Multi-granulation rough set is a generalization of Rough Set Theory (RST) in order to adapt to cases that there are multiple relations in the universe. To allow Dominance-based Rough Set Approach (DRSA) being applied in multiple relations cases, we propose a multi-granulation model based on DRSA. A numerical example is employed to validate the rationality and feasibility of our model.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, China

    Shaoyong Li, Tianrui Li & Chuan Luo

Authors
  1. Shaoyong Li
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  2. Tianrui Li
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  3. Chuan Luo
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Editor information

Editors and Affiliations

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

    JingTao Yao

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, P.R. China

    Yan Yang

  3. Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965, Poznan, Poland

    Roman Słowiński

  4. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  5. School of Management and Engineering, Nanjing University, 210093, Nanjing, Jiangsu, P.R. China

    Huaxiong Li

  6. Machine Intelligence Unit, Indian Statistical Institute (ISI), 700108, Kolkata, India

    Sushmita Mitra

  7. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Lech Polkowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, S., Li, T., Luo, C. (2012). A Multi-granulation Model under Dominance-Based Rough Set Approach. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_2

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  • DOI: https://doi.org/10.1007/978-3-642-32115-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32114-6

  • Online ISBN: 978-3-642-32115-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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