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Country Selection for Business Location Under Imperfect Information

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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

One of important problems in international business is evaluation of the relative priority of countries to enter for archiving sustainable business success. The objective of this study is to develop country selection model in imperfect situation, which is characterized with uncertain, imprecise and partially reliable decision-relevant information. The suggested approach is based on use of fuzzy AHP method, that is expected to provide decision makers tool to select more suitable candidate countries for sustainable business success.

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Author information

Authors and Affiliations

  1. Warwick Business School, WBS, The University of Warwick, Coventry, UK

    R. R. Aliyev

Authors
  1. R. R. Aliyev
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Correspondence to R. R. Aliyev .

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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Aliyev, R.R. (2019). Country Selection for Business Location Under Imperfect Information. 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_122

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