Fit between humanitarian professionals and project requirements :
Fit between humanitarian professionals and project requirements : hybrid group decision procedure to reduce uncertainty in decision-making
Mediouni, Abderrahmen; Zufferey, Nicolas; Subramanian, Nachiappan; Cheikhrouhou, Naoufel
Choosing 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.
Title Fit between humanitarian professionals and project requirements : hybrid group decision procedure to reduce uncertainty in decision-making
Author(s) Mediouni, Abderrahmen (University of Geneva, Switzerland ; Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale)
Subramanian, Nachiappan (University of Sussex, Brighton, UK)
Numeration (vol. no.) 2019, vol. 283, pp. 471–496
Keywords expert selection ; humanitarian projects ; multi-criteria decision-making ; fuzzy analytic hierarchy process ; TOPSIS