A Competence Based Evaluation and Selection Problem by Fuzzy Linguistic Computing

For purposes of matching human resources to tasks, a manager might be interested, at first, in evaluating the different candidates according to the specific required criteria of the tasks. Those evaluations are considered as a good a priori definition of a selection problem variables. In the framework of the paper, we intend to provide a decision making tool to the manager for solving the multi-criteria selection problem that can accommodate the qualitative details in relations with the task requirements and candidates´ competences. We outline the different steps of the proposed approach based on the combination of the linguistic competence evaluation processing based on the 2-tuple linguistic representation model and the multi-criteria decision making method, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). A didactic example is developed to illustrate each step of the proposed approach.