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PCA Weighting×自動ペアワイズ線形順序結合×
分野意思決定意思決定
系統MCDMMCDM
提唱年19012020
提唱者Pearson, K.Konstantinos, N., Xenakis, A., Kehagias, A.
種類Weight_Objective (PCA variance explained, eigenvector-based)Pairwise dominance aggregation (automatic combination)
原典Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research link ↗
別名
関連88
概要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.APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGate手法を比較: PCA-WEIGHT · APLOCO. 2026-06-17に以下より取得 https://scholargate.app/ja/compare