一项调查,为TOPSISIS提供了基于利益/成本标准的合适标准化方法的结论性建议
Anath Rau Krishnan1, Mohamad Rizal Hamid1, Geoffrey Harvey Tanakinjal1
1Labuan Faculty of International Finance, University Malaysia Sabah, Jalan Sg. Pagar, 87000, Labuan F.T., Malaysia.
MethodsX
|June 19, 2023
概括
这项研究全面评估了TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) 多标准决策方法的十种标准化方法. 结合基于和和向量方法可以提高TOPSIS应用中的决策安全性.
科学领域:
- 运营研究 运营研究
- 决策科学 决策科学
- 多重标准决策分析分析
背景情况:
- 通过与理想解决方案相似的订单偏好技术 (TOPSIS) 是一种广泛使用的多标准决策 (MCDM) 方法.
- 规范化是TOPSIS的关键初始步骤,影响最终结果.
- 以前对TOPSIS规范化方法的比较在范围和方法上是有限的.
研究的目的:
- 综合评估和推适合的基于利益/成本标准的TOPSIS标准化方法.
- 为了解决先前有限的研究的模两可的建议.
- 为在MCDM中选择合适的规范化技术提供一个强大的框架.
主要方法:
- 对TOPSIS的十种基于利益/成本标准的规范化方法的评估.
- 开发一个全面的评估程序.
- 使用平均斯皮尔曼等级相关性,平均皮尔森相关性和标准偏差指标.
- 波尔达计数技术用于方法聚合的应用.
主要成果:
- 根据选择的规范化方法,确定了TOPSIS结果中的显著差异.
- 建议结合基于和和向量规范化的方法,以获得更安全的决策.
- 最大方法 (I版本) 和Jüttler-Körth方法在TOPSIS结果上表现出相同的效果.
结论:
- 标准化方法的选择对TOPSIS结果产生了重大影响.
- 对于可靠的方法建议,一个全面的评估程序是必不可少的.
- 特定的规范化方法组合可以提高TOPSIS应用程序的稳定性和安全性.
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