Personnel evaluation under intuitionistic fuzzy environment

Abstract

In this paper, a new approach is proposed to solve multi-person and multi-attribute evaluation problems under an intuitionistic fuzzy environment. The proposed evaluation approach is mainly grounded on the integration of the score function and aggregation operator for intuitionistic fuzzy sets. To illustrate the application of the novel approach, a numerical example for evaluating engineers according to attributes of T-shaped engineers is given. The novelty of this study is that it defines T-shaped engineer selection as a multi-attribute evaluation problem in the literature for the first time. In addition, it proposes an integrated intuitionistic fuzzy evaluation approach in which the candidates are evaluated at both technical (hard) skills and non-technical (soft) skills. This study contributes to the literature as it provides a novel insight into the theoretical ground of the personnel selection problem.