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Boundary Region Reduction for Relation Systems

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Rough Sets (IJCRS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11103))

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Abstract

Attribute reduction is one of the hottest topics in rough set data analysis. This paper extends the concept of a boundary region to a relation system and studies the boundary region reduction for a given relation system and a fixed set. We present the discernibility matrix and obtain the judgment theorem of such a type of reduction. The discernibility matrix based boundary reduction algorithm for a relation system is established.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 61272031) and supported by Science Foundation of Beijing Language and Culture University (The Fundamental Research Funds for the Central Universities)(Grant No. 18YJ030003).

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Authors and Affiliations

  1. School of Information Science, Beijing Language and Culture University, Beijing, 100083, China

    Guilong Liu & Jie Liu

Authors
  1. Guilong Liu
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  2. Jie Liu
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Corresponding author

Correspondence to Guilong Liu .

Editor information

Editors and Affiliations

  1. University of Warsaw, Warsaw, Poland

    Hung Son Nguyen

  2. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang-Thuy Ha

  3. School of Information Science, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

  4. Institute of Computer Science, University of Silesia, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek

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Liu, G., Liu, J. (2018). Boundary Region Reduction for Relation Systems. In: Nguyen, H., Ha, QT., Li, T., Przybyła-Kasperek, M. (eds) Rough Sets. IJCRS 2018. Lecture Notes in Computer Science(), vol 11103. Springer, Cham. https://doi.org/10.1007/978-3-319-99368-3_32

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  • DOI: https://doi.org/10.1007/978-3-319-99368-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99367-6

  • Online ISBN: 978-3-319-99368-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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