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Weighted Estimate of Country Risk Using a Fuzzy Method of Maxmin Convolution

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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))

Abstract

Weighted attribute estimates and fuzzy method of maximin convolution based two approaches to evaluation the levels of country risk are considered. To obtain the final estimates of the country risk levels for an arbitrary set of alternatives these approaches are used on the base of expert conclusions regarding factors of country risk. The study is completed by comparative analysis of finale estimates of country risks.

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References

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Acknowledgement

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

Author information

Authors and Affiliations

  1. Institute of Control Systems of ANAS, Baku, AZ1141, Azerbaijan

    Sevinj Babayeva & Tofig Babayev

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

    Inara Rzayeva

Authors
  1. Sevinj Babayeva
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  2. Inara Rzayeva
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  3. Tofig Babayev
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Corresponding author

Correspondence to Sevinj Babayeva .

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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Babayeva, S., Rzayeva, I., Babayev, T. (2019). Weighted Estimate of Country Risk Using a Fuzzy Method of Maxmin Convolution. 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_74

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