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Application of the Shapley-Shubik Power Index in the Process of Decision Making on the Basis of Dispersed Medical Data

  • Conference paper
Beyond Databases, Architectures and Structures (BDAS 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 521))

Abstract

The paper considers the issues that are related to the process of decision-making that is based on dispersed knowledge. In previous papers the author proposed a dispersed decision support system with a dynamic structure, which is the approach that is used. The novelty, that is analyzed in this paper is the application of a power index in this system. Together with the Shapley-Shubik index, a simple method of determining local decisions has been applied. The purpose of this was to reduce the computational complexity in comparison with the approach that was proposed in the earlier papers. In experiments the situation is considered in which medical data from one domain are collected in many medical centers. We want to use all of the collected data at the same time in order to make a global decisions.

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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. Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Silesian University of Technology, Gliwice,, Poland

    Daniel Kostrzewa

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Przybyła-Kasperek, M. (2015). Application of the Shapley-Shubik Power Index in the Process of Decision Making on the Basis of Dispersed Medical Data. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_25

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  • DOI: https://doi.org/10.1007/978-3-319-18422-7_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18421-0

  • Online ISBN: 978-3-319-18422-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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