方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| PCA权重× | AROMAN（考虑双步归一化的排序顺序方法）× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 1901 | 2022 |
| 提出者≠ | Pearson, K. | Zdravković, M., Hamid, M., Radovanović, M. |
| 类型≠ | Weight_Objective (PCA variance explained, eigenvector-based) | Two-step normalisation (linear + vector) with weighted power aggregation |
| 开创性文献≠ | Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 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. | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
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