A two-phase decision-making method for handling personnel selection problem

The aim of this paper is attempted to present a systematic decision-making model to deal with the personnel selection effectively and efficiently. At first stage, quantitative information of each applicant is considered in proposed method to reduce number of candidates. For this purpose, the TOPSIS and entropy methods are applied to calculate closeness coefficient of each applicant. In next stage, qualitative information of each suitable candidate is expressed by 2-tuple linguistic variable. Therefore, we combined the PROMETHEE with entropy method to compute the outranking indices of candidates with respect to each qualitative criterion. A comprehensive support index is defined in this paper to determine ranking order of each candidate by considering quantitative and qualitative information simultaneously. An example is implemented to present the computational process of proposed method.