A fuzzy TOPSIS framework for selecting fragile states for support facility
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Date
2014-10
Journal Title
Journal ISSN
Volume Title
Publisher
Quality and Quantity
Abstract
Aid recipient-countries especially those classified as ‘fragile states’ look to donor
agencies and other financial organizations for various forms of support facilities to rebuild
institutions and repair infrastructure. As countries within the fragile states bracket increase
around the world, competition for such assistances has also become keen. To select countries
for the fragile states support facility run by the African and Asian development banks, expert
ratings over sets of unquantifiable performance based criteria are used to determine the
ultimate deserving countries. In order to ensure transparency and fairness in the face of
competition, such multi-criteria ratings demand techniques that do not only model human
judgements but take into account the effect of variations in expert ratings as a result of possible
influences. This paper proposes a fuzzy TOPSIS framework for selecting fragile states for
support facility based on the African Development Bank selection criteria. Using pre-defined
linguistic terms parameterized by triangular fuzzy numbers, a numerical example is provided
on how the framework can be used by decision makers towards final selection of competing
countries for the fragile states support facility. The paper anticipating possible influences
of lobbyists, further performs a sensitivity analysis to examine the effect that bias in expert
ratings could have on the final selection. The result shows a framework that can be applied
in instances of selecting countries and organizations for aid purposes
(PDF) Erratum to: A fuzzy TOPSIS framework for selecting fragile states for support facility. Available from: https://www.researchgate.net/publication/271627323_Erratum_to_A_fuzzy_TOPSIS_framework_for_selecting_fragile_states_for_support_facility [accessed Sep 11 2018].
Description
Keywords
Fragile states, Fuzzy TOPSIS, Traingular fuzzy number (TFN), Support facility, Evaluation model, Development banks