方法对比
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| 邻域自适应有序加权平均法× | 最佳-最差法 (Best-Worst Method)× | 准则重要性通过准则间相关性 (CRITIC)× | |
|---|---|---|---|
| 领域 | 决策 | 决策 | 决策 |
| 方法族 | MCDM | MCDM | MCDM |
| 起源年份≠ | 2014 | 2015 | 1995 |
| 提出者≠ | Malczewski, J.; Liu, X. | Rezaei, J. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| 类型≠ | Range-sensitive neighbourhood-local OWA — criterion weights w^q_k scale with local criterion variance within each spatial neighbourhood; order weights λ_k remain global, encoding a single risk attitude applied everywhere | Pairwise comparison (best-to-others + others-to-worst vectors), LP | Statistical contrast intensity + correlation-based objective weighting |
| 开创性文献≠ | Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS DOI ↗ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. 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 | 8 |
| 摘要≠ | LOCAL-OWA (neighbourhood-adaptive Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J.; Liu, X. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. 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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