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Attribute Reduction Algorithms for Relation Systems on Two Universal Sets

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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

A relation system on two universal sets is a natural extension of a relation system on a universal set. This paper studies attribute reduction algorithms for relation systems on two universal sets. Based on two new discernibility matrices, we propose two reduction algorithms for relation systems and relation decision systems on two universal sets. As a corollary, we derive respectively the attribute reduction algorithms for relation systems and relation decision systems on one universal set.

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Acknowledgements

This work is supported by BLCU Scientific Research Ability Cultivation Project for Ph.D Students (Double-First Class Initiative Guiding Fund) (No. 17YPY050) and the Fundamental Research Funds for the Central Universities (the Research Funds of BLCU) (No. 18YCX011).

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Authors and Affiliations

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

    Zheng Hua, Qianchen Li & Guilong Liu

Authors
  1. Zheng Hua
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  2. Qianchen Li
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  3. Guilong 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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Hua, Z., Li, Q., Liu, G. (2018). Attribute Reduction Algorithms for Relation Systems on Two Universal Sets. 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_22

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  • DOI: https://doi.org/10.1007/978-3-319-99368-3_22

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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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