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A fuzzy TOPSIS framework for selecting fragile states for support facility

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dc.title A fuzzy TOPSIS framework for selecting fragile states for support facility en
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Nabareseh, Stephan
dc.contributor.author Afful-Dadzie, Anthony
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof Quality and Quantity
dc.identifier.issn 0033-5177 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2015
utb.relation.volume 49
utb.relation.issue 5
dc.citation.spage 1835
dc.citation.epage 1855
dc.type article
dc.language.iso en
dc.publisher Springer Netherlands
dc.identifier.doi 10.1007/s11135-014-0062-3
dc.relation.uri https://link.springer.com/article/10.1007/s11135-014-0062-3
dc.subject Development banks en
dc.subject Evaluation model en
dc.subject Fragile states en
dc.subject Fuzzy TOPSIS en
dc.subject Support facility en
dc.subject Traingular fuzzy number (TFN) en
dc.description.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. © 2014, Springer Science+Business Media Dordrecht. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005294
utb.identifier.obdid 43871885
utb.identifier.scopus 2-s2.0-84905323521
utb.identifier.wok 000359948800005
utb.source j-wok
dc.date.accessioned 2015-09-09T15:16:29Z
dc.date.available 2015-09-09T15:16:29Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University [IGA/FAI/2014/037, IGA/FaME/2014/007]
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Nabareseh, Stephan
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.fulltext.sponsorship https://doi.org/10.1007/s11135-014-0115-7 Erratum: This work was supported by Internal Grant Agency (IGA) of Tomas Bata University IGA/FAI/2014/037, IGA/FaME/2014/007 and by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
utb.fulltext.projects IGA/FAI/2014/037
utb.fulltext.projects IGA/FaME/2014/007
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
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