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Complementarity and Similarity of Complementary Structures in Spaces of Features and Concepts

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Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 364))

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Abstract

The motivation for undertaking the research on relations, such as complementarity, is complexity of real-world phenomena. Authors aim at preparation of proper modeling tools that would enable to describe dependencies to the greatest extent. The objective of this article is to discuss relation of complementarity. Authors propose definition of complementarity for concepts described with features. Concepts represent phenomena, features describe concepts. The paper is oriented on research on similarity. Authors propose similarity relations for complementary structures in spaces of features and concepts.

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Acknowledgments

The research is partially supported by the National Science Center, grant No 2011/01/B/ST6/06478.

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Authors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, 00-662, Warsaw, Poland

    Wladyslaw Homenda & Agnieszka Jastrzebska

Authors
  1. Wladyslaw Homenda
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  2. Agnieszka Jastrzebska
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Corresponding author

Correspondence to Agnieszka Jastrzebska .

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Editors and Affiliations

  1. Department of Automatic Control and Biomedical Engineering, AGH University of Science and Technology, Kraków, Poland, and International Centre for Decision Sciences and Forecasting, Kraków, Poland

    Andrzej M.J. Skulimowski

  2. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland, and AGH University of Science and Technology, Kraków, Poland

    Janusz Kacprzyk

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Homenda, W., Jastrzebska, A. (2016). Complementarity and Similarity of Complementary Structures in Spaces of Features and Concepts. In: Skulimowski, A., Kacprzyk, J. (eds) Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions. Advances in Intelligent Systems and Computing, vol 364. Springer, Cham. https://doi.org/10.1007/978-3-319-19090-7_32

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  • DOI: https://doi.org/10.1007/978-3-319-19090-7_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19089-1

  • Online ISBN: 978-3-319-19090-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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