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Application of the Pairwise Comparison Matrices into a Dispersed Decision-Making System With Pawlak’s Conflict Model

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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

In the article a dispersed system with Pawlak’s approach to conflict analysis is used. This system was proposed in a previous work. The novelty that is proposed in this paper is the use of the pairwise comparison method in this system. In the system, at first coalitions of local bases are determined with using Pawlak’s approach. Based on an aggregated knowledge, which is defined for a coalition, a pairwise comparison matrix is generated. Then the aggregation of the matrices is realised. Final decisions are made using the row geometric mean method. The proposed approach was tested using two dispersed data sets. Some conclusions are presented in this paper.

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Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, Bȩdzińska 39, 41-200, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek

Authors
  1. Małgorzata Przybyła-Kasperek
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Correspondence to Małgorzata Przybyła-Kasperek .

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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Przybyła-Kasperek, M. (2018). Application of the Pairwise Comparison Matrices into a Dispersed Decision-Making System With Pawlak’s Conflict Model. 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_30

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  • DOI: https://doi.org/10.1007/978-3-319-99368-3_30

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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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