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ROUGH-ARAS×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20212010
提出者Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L.Wang, Y. M., Luo, Y.
类型Rough outranking/ranking — Rough number (lower approximation L, upper approximation U)Correlation-penalised standard-deviation weighting
开创性文献Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. (2021). The Interval Rough Number of the Extended ARAS Method for Solving Multi-Criteria Group Decision Making. 2021 International Conference on Decision Aid Sciences and Application (DASA) 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ROUGH-ARAS (Rough-ARAS — Rough extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. in 2021. 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: ROUGH-ARAS · CCSD. 于 2026-06-17 检索自 https://scholargate.app/zh/compare