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。
| 基于相对价值距离的选举法× | 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≠ | 2015 | 1995 |
| 提出者≠ | Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| 类型≠ | Prospect-theory value function with reference-point separation | Statistical contrast intensity + correlation-based objective weighting |
| 开创性文献≠ | Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. (2015). A multiple criteria decision making method based on relative value distances. Foundations of Computing and Decision Sciences 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≠ | 4 | 8 |
| 摘要≠ | ERVD (Election based on Relative Value Distances) is a ranking multi-criteria decision-making (MCDM) method introduced by Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. in 2015. 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. |
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