Fuzzy Integral Project Manager Selection

Abstract As in many decision problems, project manager selection is very complex in real life. Although many studies have investigated this problem, however, dependency of criteria has not been considered in the majority of the reviewed studies. The main objective of this study is to evaluate a candidate by developing a model based on fuzzy integrals for ranking candidates. The model was validated using a case study of personnel selection in a project based company for a project manager position. The effectiveness of the new method was demonstrated by a case study. The results showed that the proposed model is appropriate for selecting personnel considering dependency between criteria. In the real world, in dealing with multiple criteria decision making problems, the criteria are not independent. So they cannot be evaluated by conventional additive measures and there must be better methods to distinguish the preferences by applying a new nonlinear and non-additive model, in which it is not necessary to assume independence.