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میانگین وزنی مرتب فضایی (Spatial Ordered Weighted Averaging)×CRiteria Importance Through Intercriteria Correlation×
حوزهتصمیم‌گیریتصمیم‌گیری
خانوادهMCDMMCDM
سال پیدایش2003/20061995
پدیدآورMakropoulos, C. K.; Butler, D.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
نوعZone-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
منبع بنیادینMakropoulos, 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 ↗
نام‌های دیگر
مرتبط88
خلاصهSOWA (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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ScholarGateمقایسهٔ روش‌ها: SOWA · CRITIC. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare