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。
| 基于双重规范化的多重聚合方法× | 准则重要性通过准则间相关性 (CRITIC)× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2020 | 1995 |
| 提出者≠ | Liao, H., Wu, X. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| 类型≠ | Dual-normalisation aggregation (linear + vector) | Statistical contrast intensity + correlation-based objective weighting |
| 开创性文献≠ | Liao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 摘要≠ | DNMA (Double Normalization-Based Multiple Aggregation) is a ranking multi-criteria decision-making (MCDM) method introduced by Liao, H., Wu, X. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
|
|