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Comparison of Selected Fusion Methods from the Abstract and Rank Levels in a System Using Pawlak’s Approach to Coalition Formation

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Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety (BDAS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 928))

Abstract

In this paper, a decision system that uses dispersed knowledge is considered. In particular, an ensemble of classifiers in which the relations between classifiers are analyzed and coalitions of classifiers that are formed is discussed. In a previous work, the use of Pawlak’s conflict model in order to create such coalitions was proposed. In this paper, four fusion methods are used in this system – two from the abstract level and two from the rank level. The results that were obtained using these four methods were compared and 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

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

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Przybyła-Kasperek, M. (2018). Comparison of Selected Fusion Methods from the Abstract and Rank Levels in a System Using Pawlak’s Approach to Coalition Formation. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety. BDAS 2018. Communications in Computer and Information Science, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-319-99987-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-99987-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99986-9

  • Online ISBN: 978-3-319-99987-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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