A modification of technique for order preference by similarity to ideal solution (TOPSIS) through fuzzy similarity method (a numerical example of the personnel selection)
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 145
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شناسه ملی سند علمی:
JR_APRIE-10-2_005
تاریخ نمایه سازی: 5 اردیبهشت 1402
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
Elham Ebrahimi
Department of Human Resources Management, Institute for Humanities and Cultural Studies, Tehran, Iran.
Mohammad Reza Fathi
Department of Management and Accounting, College of Farabi, University of Tehran, Iran.
Seyed Mohammad Sobhani
Department of Management and Accounting, College of Farabi, University of Tehran, Iran
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