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向量归一化×加权聚合乘和法×
领域决策决策
方法族MCDMMCDM
起源年份19812012
提出者Hwang, C. L., Yoon, K.Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A.
类型Normalization (L2, unit-sphere projection)Convex combination (SAW + WPM)
开创性文献Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika DOI ↗
别名
相关48
摘要NORM-VECTOR (Vector Normalization — Euclidean column-norm scaling (L2 normalisation)) is a normalization multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.WASPAS (Weighted Aggregated Sum Product Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. in 2012. 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: NORM-VECTOR · WASPAS. 于 2026-06-17 检索自 https://scholargate.app/zh/compare