Comparison of Multi-Criteria Decision Making Methods Using The Same Data Standardization Method

H. Dung, Duc Trung Do, V. Nguyen
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引用次数: 5

Abstract

Abstract The ranking results of the alternatives are heavily influenced by the decision making method, data normalization method, and calculation method for criterion weights. In this study, five multi-criteria decision-making methods were compared: MABAC, COCOSO, MAIRCA, VIKOR, and ROV. All of these methods use the same data normarmalization method. The weights for the criteria were determined using four methods: Equal, ROC, RS, and Entropy. In two different examples, the combination of multi-criteria decision-making methods with weighting methods for ranking alternatives is demonstrated. In each example, the number of options and the number of criteria are also different. The results in both examples show that regardless of the weighting method, multi-criteria decision-making methods always determine the same best solution. Furthermore, the direction of future research has been mentioned in the final section of this paper.
基于同一数据标准化方法的多准则决策方法比较
摘要选择方案的排序结果受决策方法、数据归一化方法和指标权重计算方法的影响较大。在本研究中,比较了五种多准则决策方法:MABAC、COCOSO、MAIRCA、VIKOR和ROV。所有这些方法都使用相同的数据规范化方法。采用四种方法确定标准的权重:Equal、ROC、RS和Entropy。在两个不同的例子中,演示了多准则决策方法与加权方法的组合,以对备选方案进行排序。在每个示例中,选项的数量和条件的数量也不同。两个算例的结果表明,无论采用何种加权方法,多准则决策方法总是确定相同的最优解。最后,本文提出了今后的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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