方法对比
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| 多目标比率分析优化法× | PIF-CIMAS（Kara 等人 2024）的图片模糊变体× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2006 | 2024 |
| 提出者≠ | Brauers, W. K. M., Zavadskas, E. K. | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. |
| 类型≠ | Ratio system + reference point (vector normalisation) | Picture Fuzzy criteria weighting via expert assessment (CIMAS) — PFWA aggregation |
| 开创性文献≠ | Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗ | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing DOI ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 摘要≠ | MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | PIF-CIMAS (Picture Fuzzy variant of CIMAS (Kara et al. 2024)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
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