Decision analysis and methods
sara Ait Bahom; Lotfi Chraïbi; Naoufal Sefiani
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 ...
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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.
Decision analysis and methods
Elham Ebrahimi; Mohammad Reza Fathi; Seyed Mohammad Sobhani
Abstract
Multiple criteria decision-making (MCDM) is well known nowadays as a methodology in which a set of techniques are integrated to evaluate a set of alternatives with specified criteria for the purpose of selecting or ranking. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is ...
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Multiple criteria decision-making (MCDM) is well known nowadays as a methodology in which a set of techniques are integrated to evaluate a set of alternatives with specified criteria for the purpose of selecting or ranking. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is well-established methodology frequently considered in MCDM analyses. TOPSIS has a sound logic that represents the rationale of human choice and is a scalar value simultaneously taking into account both the best and worst alternatives. Moreover, it has a simple computation process that could be easily programmed and finally it has the ability to rank alternatives on attributes to be visualized on a polyhedron, in at least two dimensions. Despite the advantages of this method, the process of ranking alternative according to related criteria may need more consideration. Typically, there are contributions in this article. First, a new similarity measure has been introduced followed by a modification applied to TOPSIS analyses. Second, the modified similarity technique was subsequently extended in the fuzzy context to cope with the uncertainty inherently existing in human judgments. A numerical example of the personnel selection was presented to demonstrate the possible application of the proposed method in human resource management. The outcome of applying fuzzy similarity method showed a significant distinction in ranking alternatives compered to TOPSIS method. Therefore, the modification is sound to be a proper solution.
