Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/188491
Authors: 
Raoudha, Hachicha
El Mouloudi, Dafaoui
Selma, Hadji
El Mhamedi, Abderrahman
Year of Publication: 
2012
Citation: 
[Journal:] Journal of Industrial Engineering and Management (JIEM) [ISSN:] 2013-0953 [Volume:] 5 [Year:] 2012 [Issue:] 2 [Pages:] 323-343
Abstract: 
The aim of the paper is to provide a decision making tool for solving a multi-criteria selection problem that can accommodate the qualitative details in relations with the task requirements and candidates' competences. Our inquiry emphasizes the use of the 2-tuple linguistic representation model as the most suitable tool to overcome the uncertain and subjective assessments. It is adapted to aggregate linguistic assessments of acquired and required competence resources generated by a group of appraisers. The resulting aggregated objective evaluations are therefore used as inputs of an extended version of the TOPSIS method. After certain customization, a candidates' ranking based on a similarity degree between required and acquired competence components levels is provided. The quality and efficiency of the proposed approach were confirmed through a real life application from a university context. It ensures a better management of the available candidates. Moreover, it allows facing the circumstances of absenteeism, identifying the need of training, and so on.
Subjects: 
competence
2-tuple
multicriteria
decision making
TOPSIS
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc/3.0/
Document Type: 
Article
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