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。
| 副产品技术DEA× | 数据包络分析（CCR模型）用于基于效率的排序× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2005 | 1978 |
| 提出者≠ | Färe, Grosskopf, Noh et al. | Charnes, A., Cooper, W. W., Rhodes, E. |
| 类型≠ | Non-parametric efficiency with undesirable outputs and by-products | Non-parametric efficiency frontier (CCR model) |
| 开创性文献≠ | Scheel, H. (2001). Undesirable outputs in efficiency valuations. European Journal of Operational Research, 132(2), 400-410. DOI ↗ | Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗ |
| 别名≠ | By-Production DEA, Joint Production DEA | — |
| 相关≠ | 2 | 0 |
| 摘要≠ | By-Production Technology DEA is a variant of Data Envelopment Analysis designed for production systems that generate both desirable outputs and undesirable by-products or emissions. Rather than ignoring or arbitrarily penalizing undesirable outputs, this method explicitly models them as joint products of the production process. It evaluates efficiency while accounting for the trade-off between desired production and environmental impact. | DEA (Data Envelopment Analysis (CCR model) for efficiency-based ranking) is a dea multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W., Rhodes, E. in 1978. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
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