In a world of limited resources, there is a constant and continuous challenge for the managers to decide which projects should be given priority among others. As such, project selection and prioritisation has become a popular topic among researchers. Most of prior research, however, is focused around proposing techniques for prioritising the projects based on a given set of selection criteria, and less attention has been devoted towards identifying how such criteria themselves should be identified and prioritised in the first place. This paper narrows this gap by combining Quality Function Development (QFD), fuzzy logic, and Additive Ratio Assessment (ARAS) to systematically establish and prioritise a large number of selection criteria and rank the projects accordingly, in nondeterministic conditions. The proposed method is then applied in a numerical example from real word to illustrate the applicability of the proposed methodology, and also to demonstrate its advantage over an alternative approach.
Akbari, Pouria; Jafarzadeh, Hamed; and Heidary Dahooie, Jalil, "Prioritising IT Projects: Combination of Fuzzy QFD and ARAS to Address Criteria Multiplicity Challenge" (2019). PACIS 2019 Proceedings. 95.