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Rough Sets in Multicriteria Classification of National Heritage Monuments

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Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery (BDAS 2015, BDAS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 613))

Abstract

The motivation of this paper are problems how to improve assessment of historic buildings, in terms of the significance of conservation activities. The protection of national heritage, so important nowadays, requires a multicriteria assessment. Seeing that different factors in varying degrees affect the comprehensive assessment of the object, it becomes necessary to use computational intelligence methods. This paper presents a rough sets approach to multicriteria rating of objects on the example of historical buildings.

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Authors and Affiliations

  1. Department of Computing Science, Faculty of Electrical and Computer Engineering, Cracow University of Technology, Cracow, Poland

    Krzysztof Czajkowski

Authors
  1. Krzysztof Czajkowski
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Correspondence to Krzysztof Czajkowski .

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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Czajkowski, K. (2016). Rough Sets in Multicriteria Classification of National Heritage Monuments. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery. BDAS BDAS 2015 2016. Communications in Computer and Information Science, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-34099-9_12

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  • DOI: https://doi.org/10.1007/978-3-319-34099-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-34098-2

  • Online ISBN: 978-3-319-34099-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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