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Comparison of multi-criteria decision-making methods with the same normalization procedure based on real-life applications

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  • Nazlı Ersoy
  • Nuh Keleş

Abstract

The ranking of a set of objects defined by a single data set may vary due to differences in multi- criteria decision-making (MCDM) procedures. One of these procedural differences is normalization, which is an important step in data analysis and MCDM methods. In terms of demonstrating the impact of the normalization process on the results, this study aims to compare MCDM methods with a linear normalization process. This study works on eight ranking methods (WASPAS, SECA, SAW, OWA, CODAS, MARCOS, PSI, and WPM), and three weighting methods (Entropy, EW, LOPCOW) based on three real-life applications. The study primarily explains the differences in rankings by the MCDM methods. Additionally, it is also important to demonstrate the impact of different weights on the results. The study found that the MCDM rankings obtained with the same normalization process differed, and it also observed that different criterion weights had an impact on the ranking results. This study contributes to the literature as it is the first to compare MCDM methods using linear normalization processes based on real-life applications.

Suggested Citation

  • Nazlı Ersoy & Nuh Keleş, 2024. "Comparison of multi-criteria decision-making methods with the same normalization procedure based on real-life applications," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(3), pages 87-100.
    • Handle: RePEc:wut:journl:v:34:y:2024:i:3:p:87-100:id:5
    DOI: 10.37190/ord240305
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    References listed on IDEAS

    as
    1. Nazlı Ersoy, 2022. "The Influence of Statistical Normalization Techniques on Performance Ranking Results: The Application of MCDM Method Proposed by Biswas and Saha," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(5), pages 1-21, January.
    2. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
    3. Ayşegül Tuş & Esra Aytaç Adalı, 2019. "The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 528-538, June.
    4. Adis Puška & Miroslav Nedeljković & Živče Šarkoćević & Zoran Golubović & Vladica Ristić & Ilija Stojanović, 2022. "Evaluation of Agricultural Machinery Using Multi-Criteria Analysis Methods," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
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