Document Type : Research Paper

Authors

1 Department of Information and Communication Systems Laboratory, ‎ National School for Applied ‎Sciences of Tangier , Morocco

2 Department of Information and Communication Systems Laboratory, ‎ National School for Applied ‎Sciences of Tangier , ‎

3 Engineering, Innovation Management and Industrial Systems ‎Research Team‎, Faculty of Science and ‎Technology of Tangier , Morocco‎

Abstract

Quality Management System QMS plays a crucial role in each company that aims to ‎gain a competitive advantage. ‎However, ‎‎the QMS implementation requires a ‎competent staff. Therefore, companies need a tool that will help them ‎select the ‎most ‎‎competent candidates for quality positions. To this aim, we have developed a ‎new fuzzy hybrid approach ‎based on the ‎‎integration of the 2-tuple linguistic ‎representation model with the Distance to the Ideal Alternative (DIA) ‎method, which ‎‎‎enables assessing candidates without distortion of the initial information. In this ‎article, we present an ‎illustrative example ‎‎of ranking candidates for a quality ‎coordinator position to demonstrate the validity and efficiency of ‎our approach. In ‎‎‎addition, we compare our approach with the most well-known and used ‎classification approach, ‎which is based on the use ‎‎of the TOPSIS method.‎ ‎

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