Soft skills fuzzy TOPSIS ranked multi-criteria to select project manager

Abstract

This study aims to use fuzzy logic to select a project manager based on soft skills. In the first phase, a focus group interview was applied to establish the weights according to the soft skills list selected. In the second phase, the fuzzy TOPSIS logic was applied. According to the concept of the fuzzy TOPSIS, a closeness coefficient is defined to determine the ranking order of all alternatives. The results allowed the construction of the framework here called fuzzy TOPSIS ranked multi-criteria for selecting the best candidate according to the profile and criteria adopted. The contribution of this study is to allow the attribution of values to soft skills that, in essence, are subjectivity. This framework is friendly, the investment required is low, and it is adaptable to different contexts.