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A Fuzzy Semantic Data Triangulation Method Used in the Formation of Economic Clusters in Southern Russia

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

Abstract

The article describes the formation of clusters as evolving polymorphic systems in algorithms of systems analysis based on the international experience. The authors pay special attention to the range of cluster development patterns and the necessary conditions for their formation. The given range of patterns is required to develop algorithms for a comparative analysis of their reflection in the national and regional regulatory documents in order to accelerate the clustering process in the Russian economy.

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Reference

  1. Akperov, I., Khramov, V., Lukasevich, V., Mityasova, O.: Fuzzy methods and algorithms in data mining and formation of digital plan-schemes in earth remote sensing. Proc. Comput. Sci. 120, 120–125 (2017)

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Authors and Affiliations

  1. Sothern University (IMBL), M. Nagibina pr., 33a/47, 344068, Rostov-on-Don, Russia

    Gurru I. Akperov & Vladimir V. Khramov

Authors
  1. Gurru I. Akperov
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  2. Vladimir V. Khramov
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Corresponding author

Correspondence to Vladimir V. Khramov .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Akperov, G.I., Khramov, V.V. (2020). A Fuzzy Semantic Data Triangulation Method Used in the Formation of Economic Clusters in Southern Russia. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_43

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