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空间有序加权平均法×最佳-最差法 (Best-Worst Method)×
领域决策决策
方法族MCDMMCDM
起源年份2003/20062015
提出者Makropoulos, C. K.; Butler, D.Rezaei, J.
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 globalPairwise comparison (best-to-others + others-to-worst vectors), LP
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 ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega 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.BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
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ScholarGate方法对比: SOWA · BWM. 于 2026-06-18 检索自 https://scholargate.app/zh/compare