灰色混合正常化与基于周期的权和城市排名的关系分析
Moses Olabhele Esangbedo1, Jieyun Wei2
1School of Management Engineering, Xuzhou University of Technology, No. 2 Lishui Road, Yunlong District, Xuzhou, 221018, China.
Scientific reports
|August 23, 2023
概括
不同的规范化方法显著影响多标准决策排名. 本研究引入了一种新的灰色混合正常化方法,以解决这种不确定性,提高复杂评估的决策准确性.
科学领域:
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
- 灰色系统理论 灰色系统理论
背景情况:
- 关于多标准决策 (MCDM) 不确定性的现有研究集中在绩效值,标准权重和评估方法上.
- 标准化方法对MCDM结果的影响在很大程度上仍未得到解决,尽管它有可能改变其他排名.
- 不同的规范化技术 (和,min-max,向量,最大化) 即使具有相同的性能数据和权重,也可以产生不同的结果.
研究的目的:
- 调查和量化MCDM中各种规范化方法所引入的不确定性.
- 提出一种新的规范化方法,灰色混合规范化方法,以减轻这种不确定性.
- 应用灰色系统理论来增强决策过程中的测量,权衡和规范化.
主要方法:
- 灰色系统理论的应用,以解决性能值测量,标准权重和决策矩阵规范化中的不确定性.
- 灰色混合正常化方法的开发和建议.
- 使用灰色权和灰色关系分析与正和负引用 (GRA-PNR) 来排名48个城市.
主要成果:
- 证明不同的规范化方法对相同的替代品和权重组产生不同的排名.
- 在选择中国电动汽车制造商分公司所在地 (2019-2021) 的实际应用中,纽约市被确定为最佳选择.
- 股票市场资本化被确定为城市排名中经济有效性最重要的权重因素.
结论:
- 规范化方法是MCDM中不确定性的关键来源,需要仔细考虑.
- 拟议的灰色混合正常化方法为管理正常化诱导的不确定性提供了一个强大的方法.
- 该研究验证了基于灰色系统理论的方法在复杂的决策场景中的有效性,如城市选择示例所示.
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