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Application of Leointief’s Input-Output Model of Azerbaijan Economy Under Fuzzy Information

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15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022 (ICAFS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 610))

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Abstract

In this study, the economy of Azerbaijan is analyzed using the fuzzy approach. The main goal of the work is to achieve an optimal solution to the problem of calculating the matrix of social accounts in terms of probable changes in various ranges using mathematical methods of fuzzy set theory. In Leontief’s input-output model, the expected impact of changes in the volume of the final product (Yi) on the total product (Xi) was calculated using fuzzy set theory. In the study, calculations were made to study the effect of an increase or decrease in the final product of the agricultural sector on other sectors using fuzzy values of the matrix Ã.

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Author information

Authors and Affiliations

  1. Research Laboratory of Intelligent Control and Decision Making Systems in Industry and Economics, Azerbaijan State Oil and Industry University, Azadlig Ave., 20, AZ1010, Baku, Azerbaijan

    V. J. Axundov

Authors
  1. V. J. Axundov
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Correspondence to V. J. Axundov .

Editor information

Editors and Affiliations

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

    R. A. Aliev

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

    J. Kacprzyk

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

    W. Pedrycz

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

    Mo. Jamshidi

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

    M. B. Babanli

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

    F. Sadikoglu

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Axundov, V.J. (2023). Application of Leointief’s Input-Output Model of Azerbaijan Economy Under Fuzzy Information. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_63

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