方法对比
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| 标准差与相关系数客观赋权法× | 综合基于距离的排序× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2010 | 2022 |
| 提出者≠ | Wang, Y. M., Luo, Y. | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. |
| 类型≠ | Correlation-penalised standard-deviation weighting | Distance from PIS/NIS/AS (Euclidean × Taxicab combined) |
| 开创性文献≠ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability link ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 摘要≠ | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. 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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