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PCA权重×组合折衷解×
领域决策决策
方法族MCDMMCDM
起源年份19012019
提出者Pearson, K.Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z.
类型Weight_Objective (PCA variance explained, eigenvector-based)Aggregated exponential comparison (WSM + WPM combination)
开创性文献Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. (2019). A combined compromise solution (COCOSO) method for multi-criteria decision-making problems. Management Decision DOI ↗
别名
相关88
摘要PCA-WEIGHT (PCA Weighting — Principal Component Analysis based objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pearson, K. in 1901. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.COCOSO (Combined Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. in 2019. 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: PCA-WEIGHT · COCOSO. 于 2026-06-18 检索自 https://scholargate.app/zh/compare