Abstract
Developmental Aid Programs or what is normally referred to as Official Development Assistance (ODA), plays a key role in the growth process of many underdeveloped and developing countries. However, with a recent growing scarcity of resources and a general call for strict accountability from aid-recipient countries, there has been some interests in the design of aid performance evaluation methodologies or tools. To deepen such interests, this paper proposes a hybrid Fuzzy AHP Synthetic Extent—PROMETHEE framework of how aid-recipient countries could be evaluated and selected in developmental aid programs. With the use of the Organization for Economic Co-operation and Development (OECD) set of subjective criteria for evaluating aid programs, a decision framework pre-defined by linguistic terms of triangular fuzzy number format is provided for such selection decision problem. The framework serves to deepen transparency, fairness, value for money and sustainability of development aid programs.
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Acknowledgement
This work was supported by Grant Agency of the Czech Republic—GACR P103/15/06700S, further by financial support of research project NPU I no. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089. Further, this work was supported by Internal Grant Agency of Tomas Bata University under the project no. IGA/CebiaTech/2016/007.
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Afful-Dadzie, E., Oplatková, Z.K., Nabareseh, S., Adu-Kwarteng, M. (2016). Development Aid Decision Making Framework Based on Hybrid MCDM. In: Czarnowski, I., Caballero, A., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2016. IDT 2016. Smart Innovation, Systems and Technologies, vol 56. Springer, Cham. https://doi.org/10.1007/978-3-319-39630-9_21
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DOI: https://doi.org/10.1007/978-3-319-39630-9_21
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