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Selected Approaches to Conflict Analysis Inspired by the Pawlak Model – Case Study

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Rough Sets (IJCRS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14481))

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Abstract

The paper presents a comparison of selected methods of conflict analysis inspired by the Pawlak model. It examines a real-world case study, the 2020 presidential election in Poland. The study explores five distinct approaches to conflict analysis, drawing insights from this example. It highlights crucial distinctions among the models considered and provides recommendations within practical application contexts.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, ul. Bedzinska 39, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek & Alicja Wakulicz-Deja

  2. Department of Computer Science, WSB University, ul. Cieplaka 1c, Da̧browa Górnicza, Poland

    Rafał Deja

Authors
  1. Małgorzata Przybyła-Kasperek
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  2. Rafał Deja
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  3. Alicja Wakulicz-Deja
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Corresponding author

Correspondence to Małgorzata Przybyła-Kasperek .

Editor information

Editors and Affiliations

  1. IRCCS Istituto Ortopedico Galeazzi, Milano, Italy

    Andrea Campagner

  2. Ghent University, Ghent, Belgium

    Oliver Urs Lenz

  3. Chongqing University of Posts and Telecommunications, Chongqing, China

    Shuyin Xia

  4. University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  5. AGH University of Science and Technology, Kraków, Poland

    Jarosław Wąs

  6. University of Regina, Regina, SK, Canada

    JingTao Yao

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Przybyła-Kasperek, M., Deja, R., Wakulicz-Deja, A. (2023). Selected Approaches to Conflict Analysis Inspired by the Pawlak Model – Case Study. In: Campagner, A., Urs Lenz, O., Xia, S., Ślęzak, D., Wąs, J., Yao, J. (eds) Rough Sets. IJCRS 2023. Lecture Notes in Computer Science(), vol 14481. Springer, Cham. https://doi.org/10.1007/978-3-031-50959-9_1

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  • DOI: https://doi.org/10.1007/978-3-031-50959-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50958-2

  • Online ISBN: 978-3-031-50959-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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