ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

空间有序加权平均法×步骤权重评估比率分析×
领域决策决策
方法族MCDMMCDM
起源年份2003/20062010
提出者Makropoulos, C. K.; Butler, D.Keršulienė, V., Zavadskas, E. K., Turskis, Z.
类型Zone-stratified OWA — order weights λ_k vary per spatial zone, encoding spatially heterogeneous risk attitudes (ORness) while criterion weights w_k remain globalSequential step-ratio subjective weighting
开创性文献Makropoulos, C. K., Butler, D. (2006). Spatial ordered weighted averaging: incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making. Environmental Modelling & Software DOI ↗Keršulienė, V., Zavadskas, E. K., Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management DOI ↗
别名
相关88
摘要SOWA (Spatial Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Makropoulos, C. K.; Butler, D. in 2003/2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.SWARA (Step-Wise Weight Assessment Ratio Analysis) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Keršulienė, V., Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
  1. v1
  2. 1 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: SOWA · SWARA. 于 2026-06-19 检索自 https://scholargate.app/zh/compare