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空间有序加权平均法×准则重要性通过准则间相关性 (CRITIC)×
领域决策决策
方法族MCDMMCDM
起源年份2003/20061995
提出者Makropoulos, C. K.; Butler, D.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
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 globalStatistical contrast intensity + correlation-based objective 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 ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research 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.CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGate方法对比: SOWA · CRITIC. 于 2026-06-18 检索自 https://scholargate.app/zh/compare