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| PCA Weighting× | Автоматична комбинация на двойки линейни подредби× | |
|---|---|---|
| Област | Вземане на решения | Вземане на решения |
| Семейство | MCDM | MCDM |
| Година на възникване≠ | 1901 | 2020 |
| Създател≠ | Pearson, K. | Konstantinos, N., Xenakis, A., Kehagias, A. |
| Тип≠ | Weight_Objective (PCA variance explained, eigenvector-based) | Pairwise dominance aggregation (automatic combination) |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | — | — |
| Свързани | 8 | 8 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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