通过有序加权平均 (OWA) 运营商构建的复合指标的基于目标的权重
Matheus Pereira Libório1, Petr Iakovlevitch Ekel1, Sandro Laudares1
1Pontifical Catholic University of Minas Gerais, 500 Dom José Gaspar Street, Belo Horizonte, MG 30535-901, Brazil.
MethodsX
|February 5, 2024
概括
本研究引入了一种新方法,用于对组合指标的有序加权平均 (OWA) 运算符中客观地定义权重. 该方法通过最大限度地捕捉概念并最大限度地减少信息丢失来提高指标质量.
科学领域:
- 多标准决策分析分析.
- 综合指标发展综合指标发展
- 量化社会科学 量化社会科学
背景情况:
- 顺序加权平均 (OWA) 运算符在复合指标研究中被广泛使用.
- 传统的OWA权重决定依赖于决策者,引入潜在的偏见和错误.
- 现有的OWA重量定义的客观方法不优先考虑复合指标质量.
研究的目的:
- 引入一种新的方法来定义基于复合指标质量的OWA操作员权重.
- 解决主观和现有的客观重量确定方法的局限性.
- 提高复合指标的可靠性和可解释性.
主要方法:
- 拟议的方法通过优化两个关键质量参数来定义OWA权重:概念捕获和信息丢失.
- 该方法可以使用Microsoft Excel Solver实现.
- 该方法允许在设定优化目标和约束时具有灵活性,包括限制信息丢失或强调特定现象方面.
主要成果:
- 确定权重是为了最大限度地提高复合指标能够表示多维现象的能力.
- 该方法包含了限制,以管理信息丢失,并定制指标的重点.
- 优化框架为各种多维问题提供了适应性.
结论:
- 开发的方法为OWA重量确定提供了客观和以质量为中心的方法.
- 这种技术提高了复合指标的科学严谨性和实际适用性.
- 该方法灵活,易于使用,适合各种领域的研究人员和从业人员使用.
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