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CF-EDAS (EDAS的复杂扩展)×标准差与相关系数客观赋权法×
领域决策决策
方法族MCDMMCDM
起源年份20022010
提出者Ramot, D. Milo, R. Friedman, M. Kandel, A.Wang, Y. M., Luo, Y.
类型Complex outranking/ranking — Complex Fuzzy Set (CFS: amplitude r ∈ [0,1], phase ω ∈ [0,2π])Correlation-penalised standard-deviation weighting
开创性文献Ramot, D., Milo, R., Friedman, M., Kandel, A. (2002). Complex fuzzy sets. IEEE Transactions on Fuzzy Systems DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
别名
相关88
摘要CF-EDAS (Complex extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ramot, D. Milo, R. Friedman, M. Kandel, A. in 2002. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. 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: CF-EDAS · CCSD. 于 2026-06-17 检索自 https://scholargate.app/zh/compare