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| PCA Weighting× | 加法比率評価× | |
|---|---|---|
| 分野 | 意思決定 | 意思決定 |
| 系統 | MCDM | MCDM |
| 提唱年≠ | 1901 | 2010 |
| 提唱者≠ | Pearson, K. | Zavadskas, E. K., Turskis, Z. |
| 種類≠ | Weight_Objective (PCA variance explained, eigenvector-based) | Additive utility ratio (optimal reference row) |
| 原典≠ | Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗ | Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗ |
| 別名 | — | — |
| 関連 | 8 | 8 |
| 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. | ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateデータセット ↗ |
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