A Novel Multi-Criteria Decision-Making Approach Proposal Based On Kemira-M With Four Criteria Groups

Sefacan Ay (), Gülin Feryal Can () and Pelin Toktaş ()
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Sefacan Ay: Institute of Science, Engineering and Technology Management, Başkent University, Bağlıca, Etimesgut Ankara, 06890 Turkey
Gülin Feryal Can: ��Engineering Faculty, Industrial Engineering, Başkent University, Bağlıca, Etimesgut, Ankara, 06890 Turkey
Pelin Toktaş: ��Engineering Faculty, Industrial Engineering, Başkent University, Bağlıca, Etimesgut, Ankara, 06890 Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2023, vol. 22, issue 03, 991-1032

Abstract: This study aims to eliminate the subjectivity in the weight assignment process of Modified Kemeny Median Indicator Ranks Accordance (KEMIRA-M) and to remove the need for experts to reach a consensus on determining the criteria weights. Additionally, this study aims to apply KEMIRA-M for four different criteria groups and to prevent some criteria from taking a weight value of “0†, as in other studies using KEMIRA-M. In this context, the weighting procedure of KEMIRA-M is advanced using three different ranking-based weighting methods such as Rank Sum (RS), Rank Exponent (RE) and Rank Reciprocal (RR) to operate Median Priority Components (MPCs) more effectively. Accordingly, to determine which weighting method for which criterion group is more suitable, the selection procedure of KEMIRA-M was applied and alternative rankings were obtained for 81 different weight set combinations. Additionally, MATLAB codes have been used to provide flexibility for the application of the proposed approach in a supplier selection problem selected for a case study.

Keywords: KEMIRA-M; MCDM; ranking-based criteria weighting; supplier selection; MATLAB (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0219622022500614

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