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Using Fuzzy PROMETHEE to Select Countries for Developmental Aid

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Intelligent Systems and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 650))

Abstract

Wealthy nations continue to demonstrate their unwavering support to improving conditions and the general well-being of poor countries in spite of the recent economic crises. However, as developmental aid relatively shrinks, both Aid donors and recipient countries have shown keen interest in methodologies used in evaluating developmental assistance programs. Evaluation of aid programs is seen as a complex task mainly because of the several non-aid factors that tend to affect overall outcomes. Adding to the complexity are the subjective sets of criteria used in Aid evaluations programs. This paper proposes a two stage framework of fuzzy TOPSIS and sensitivity analysis to demonstrate how aid-recipient countries can be evaluated to deepen transparency, fairness, value for money and sustainability of such aid programs. Using the Organisation for Economic Co-operation and Development (OECD) set of subjective criteria for evaluating aid programs; a numerical example pre-defined by linguistic terms parameterized by triangular fuzzy numbers is provided to evaluate aid programs. Fuzzy PROMETHEE is used in the first stage to evaluate and rank aid-recipients followed by a comparative analysis with Fuzzy VIKOR and Fuzzy TOPSIS to ascertain an accurateness of the method used. A sensitivity analysis is further added that anticipates possible influences from lobbyists and examines the effect of that bias in expert ratings on the evaluation process. The result shows a framework that can be employed in evaluating aid effectiveness of recipient-countries.

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Acknowledgments

This work was supported by GACR P103/15/06700S, NPU I No. MSMT-7778/2014, CEBIA-Tech No. CZ.1.05/2.1.00/03.0089. It was also supported by Internal Grant Agency of TBU under the project Nos. IGA/FAI/2015/054, IGA/FaME/2016/019 and IGA/FaME/2015/023.

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Authors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Eric Afful-Dadzie & Zuzana Komínková Oplatková

  2. Faculty of Management and Economics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Stephen Nabareseh & Peter Klimek

Authors
  1. Eric Afful-Dadzie
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  2. Stephen Nabareseh
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  3. Zuzana Komínková Oplatková
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  4. Peter Klimek
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Corresponding author

Correspondence to Stephen Nabareseh .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Afful-Dadzie, E., Nabareseh, S., Oplatková, Z.K., Klimek, P. (2016). Using Fuzzy PROMETHEE to Select Countries for Developmental Aid. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. Studies in Computational Intelligence, vol 650. Springer, Cham. https://doi.org/10.1007/978-3-319-33386-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-33386-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33384-7

  • Online ISBN: 978-3-319-33386-1

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