用于多属性决策的线性规划成对比较新方法

IF 2.3 Q3 MANAGEMENT
Mehdi Soltanifar , Madjid Tavana
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引用次数: 0

摘要

本研究介绍了一种新方法,可有效且高效地解决具有大量属性的多属性决策(MADM)问题。我们证明有必要对属性进行分类,以便于专家进行更系统的比较。我们提出的方法利用成对比较来评估属性,而不需要额外的计算来评估一致性水平。建议的方法具有更高的灵活性和精确性,同时降低了计算复杂度。我们提出了一个与 MADM 文献中广泛使用的数值示例的对比分析,以证明本研究提出的方法的有效性和功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel pairwise comparison method with linear programming for multi-attribute decision-making

This study introduces a novel approach to effectively and efficiently solve Multi-Attribute Decision Making (MADM) problems with a considerable number of attributes. We demonstrate the need to categorize the attributes and facilitate a more systematic expert comparison. Our proposed method utilizes pairwise comparisons to assess attributes without requiring additional computations to evaluate the level of consistency. The proposed method offers greater flexibility and precision with reduced computational complexity. We present a comparative analysis with a widely used numerical example in the MADM literature to demonstrate the effectiveness and efficacy of the method proposed in this study.

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来源期刊
CiteScore
2.70
自引率
10.00%
发文量
15
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