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| Epsilon-Based Measure DEA× | Analiza otoczkowa danych (model CCR) do rankingów opartych na efektywności× | |
|---|---|---|
| Dziedzina | Podejmowanie decyzji | Podejmowanie decyzji |
| Rodzina | MCDM | MCDM |
| Rok powstania≠ | 2010 | 1978 |
| Twórca≠ | Kaoru Tone | Charnes, A., Cooper, W. W., Rhodes, E. |
| Typ≠ | Non-parametric efficiency analysis with slack treatment | Non-parametric efficiency frontier (CCR model) |
| Źródło pierwotne≠ | Tone, K. (2010). Variations of data envelopment analysis: Models and comparisons. International Journal of Data Envelopment Analysis and Operations Research, 1(1), 1-17. link ↗ | Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗ |
| Inne nazwy≠ | EBM-DEA, Epsilon Measure DEA | — |
| Pokrewne≠ | 1 | 0 |
| Podsumowanie≠ | Epsilon-Based Measure DEA (EBM-DEA) is a non-parametric efficiency analysis method that evaluates how efficiently organizational units convert inputs into outputs. Unlike simple ratio-based methods, EBM accounts for slacks (unused inputs, unmet outputs) proportionally in both input and output dimensions. It produces a single efficiency score between 0 and 1, with 1 indicating best-practice efficiency. | 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. |
| ScholarGateZbiór danych ↗ |
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