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Fuzzy Set-Theory Analysis of Deregulations Effects on the National Taxable Capacity

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13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 (ICAFS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 896))

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Abstract

Two approaches to assessing the impact of changes in legislation on the tax potential of the country, implemented on the base of the weighted coefficients of influence factors, and verbal model based fuzzy inference are considered. On arbitrary examples of legislative initiatives, a comparative analysis of the results obtained with the application of both methods was carried out.

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References

  1. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Inf. Sci. 8(3), 199–249 (1965)

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  2. Filatova, E.A.: Analysis of factors affecting the volume of the region tax potential. Bull. Econ. Law Sociol. 1, 112–116 (2013). (in Russian)

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  3. Lin, A.S., Wu, W.: Statistical Tools for Measuring Agreement. Springer, New York (2012). https://doi.org/10.1007/978-1-4614-0562-7

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  4. Rzayev, R.R.: Analytical Support for Decision-Making in Organizational Systems. Palmerium Academic Publishing, Saarbruchen (2016). (in Russian)

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Acknowledgement

The authors consider necessary to express their appreciation to Professor R.R. Rzayev for the help that he rendered during the process of writing and preparing this article.

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Authors and Affiliations

  1. Azerbaijan State University of Economics, Baku, AZ1101, Azerbaijan

    Rovshan Akbarov & Emin Garibli

  2. Baku Eurasian University, Baku, AZ1073, Azerbaijan

    Musa Aghamaliyev

Authors
  1. Rovshan Akbarov
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  2. Musa Aghamaliyev
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  3. Emin Garibli
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Corresponding author

Correspondence to Rovshan Akbarov .

Editor information

Editors and Affiliations

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

    Rafik A. Aliev

  2. Systems Research Institute, Polish Academy of Sciences, 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. Department of Mechatronics, Near East University, Nicosia TRNC, Turkey

    Fahreddin M. Sadikoglu

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Akbarov, R., Aghamaliyev, M., Garibli, E. (2019). Fuzzy Set-Theory Analysis of Deregulations Effects on the National Taxable Capacity. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_71

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