Development Aid Decision Making Framework Based on Hybrid MCDM

被引:2
|
作者
Afful-Dadzie, Eric [1 ]
Oplatkova, Zuzana Kominkova [1 ]
Nabareseh, Stephen [2 ]
Kwarteng, Michael Adu [2 ]
机构
[1] Tomas Bata Univ, Fac Appl Informat, Zlin, Czech Republic
[2] Tomas Bata Univ, Fac Econ & Management, Zlin, Czech Republic
来源
INTELLIGENT DECISION TECHNOLOGIES 2016, PT I | 2016年 / 56卷
关键词
Development aid; Fuzzy AHP; Fuzzy PROMETHEE; Performance evaluation; Poor countries;
D O I
10.1007/978-3-319-39630-9_21
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
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页码:255 / 266
页数:12
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