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.
competence resources evaluation selection problem 2-tuple linguistic representation model TOPSIS
Raoudha Mkaouar Hachicha El Mouloudi Dafaoui Abderrahman El Mhamedi
MGSI, IUT de Montreuil Montreuil, France
国际会议
2010 International Symposium on Computational Intelligence and Edsign(第三届计算智能与设计国际学术研讨会 ISCID 2010)
杭州
英文
183-187
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）