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Application of Interval Valued Fuzzy Sets in Attribute Ranking

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Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14375))

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Abstract

In this paper, a new methodology for ranking the attributes of a given decision table is proposed. It is a combination of discernibility relations in rough set theory and decision-making methods based on interval-valued fuzzy sets. Several acceleration methods based on randomized techniques are also presented to reduce the time complexity of the proposed methodology. The experiment results shows that the proposed methods are very up-and-coming.

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Author information

Authors and Affiliations

  1. University of Finance and Marketing, Ho Chi Minh City, Vietnam

    Bich Khue Vo

  2. Institute of Computer Science, University of Warsaw, ul. Banacha 2, Warsaw, 02-097, Poland

    Hung Son Nguyen

Authors
  1. Bich Khue Vo
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  2. Hung Son Nguyen
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Corresponding author

Correspondence to Hung Son Nguyen .

Editor information

Editors and Affiliations

  1. Japan Advanced Inst of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

  2. Vietnam National University, Ho Chi Minh City, Vietnam

    Bac Le

  3. Osaka Metropolitan University, Sakai, Osaka, Japan

    Katsuhiro Honda

  4. Osaka University, Toyonaka, Osaka, Japan

    Masahiro Inuiguchi

  5. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Youji Kohda

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Vo, B.K., Nguyen, H.S. (2023). Application of Interval Valued Fuzzy Sets in Attribute Ranking. In: Huynh, VN., Le, B., Honda, K., Inuiguchi, M., Kohda, Y. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2023. Lecture Notes in Computer Science(), vol 14375. Springer, Cham. https://doi.org/10.1007/978-3-031-46775-2_6

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  • DOI: https://doi.org/10.1007/978-3-031-46775-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46774-5

  • Online ISBN: 978-3-031-46775-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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