000002323 001__ 2323
000002323 005__ 20190411205442.0
000002323 022__ $$a0254-5330
000002323 0247_ $$2DOI$$a10.1007/s10479-018-2782-6
000002323 037__ $$aARTICLE
000002323 041__ $$aeng
000002323 245__ $$bhybrid group decision procedure to reduce uncertainty in decision-making$$aFit between humanitarian professionals and project requirements :
000002323 260__ $$c2018-02
000002323 269__ $$a2018-02
000002323 300__ $$a26 p.
000002323 506__ $$avisible
000002323 520__ $$aChoosing the right professional that has to meet indeterminate requirements is a critical aspect in humanitarian development and implementation projects. This paper proposes a hybrid evaluation methodology for some non-governmental organizations enabling them to select the most competent expert who can properly and adequately develop and implement humanitarian projects. This methodology accommodates various stakeholders’ perspectives in satisfying the unique requirements of humanitarian projects that are capable of handling a range of uncertain issues from both stakeholders and project requirements. The criteria weights are calculated using a two-step multi-criteria decision-making method: (1) fuzzy analytical hierarchy process for the evaluation of the decision maker weights coupled with (2) technique for order preference by similarity to ideal solution to rank the alternatives which provide the ability to take into account both quantitative and qualitative evaluations. Sensitivity analysis have been developed and discussed by means of a real case of expert selection problem for a non-profit organisation. The results show that the approach allows a decrease in the uncertainty associated with decision-making, which proves that the approach provides robust solutions in terms of sensitivity analysis.$$9eng
000002323 546__ $$aEnglish
000002323 540__ $$acorrect
000002323 592__ $$aHEG - Genève
000002323 592__ $$bCRAG - Centre de Recherche Appliquée en Gestion
000002323 592__ $$cEconomie et Services
000002323 65017 $$aEconomie/gestion
000002323 655__ $$ascientifique
000002323 6531_ $$aexpert selection$$9eng
000002323 6531_ $$ahumanitarian projects$$9eng
000002323 6531_ $$amulti-criteria decision-making$$9eng
000002323 6531_ $$afuzzy analytic hierarchy process$$9eng
000002323 6531_ $$aTOPSIS$$9eng
000002323 700__ $$uUniversity of Geneva, Switzerland ; Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale$$aMediouni, Abderrahmen
000002323 700__ $$uUniversity of Geneva, Switzerland$$aZufferey, Nicolas
000002323 700__ $$uUniversity of Sussex, Brighton, UK$$aSubramanian, Nachiappan
000002323 700__ $$aCheikhrouhou, Naoufel$$uHaute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale
000002323 773__ $$gTo be published$$tAnnals of Operations Research
000002323 8564_ $$uhttps://hesso.tind.io/record/2323/files/Cheikhrouhou_2018_fit_between_humanitairian.pdf$$s585695
000002323 8564_ $$uhttps://hesso.tind.io/record/2323/files/Cheikhrouhou_2018_fit_between_humanitairian.pdf?subformat=pdfa$$s1930479$$xpdfa
000002323 909CO $$pHEG_GE_ARTICLES_SCIENTIFIQUES_ECO$$pHEG_GE_ARTICLES_SCIENTIFIQUES$$pGLOBAL_SET$$ooai:hesso.tind.io:2323
000002323 906__ $$aGREEN
000002323 950__ $$aaucun
000002323 980__ $$ascientifique
000002323 981__ $$ascientifique