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| Data Envelopment Analysis (Productivity)× | 효율성 기반 순위화를 위한 자료포락분석 (CCR 모형)× | |
|---|---|---|
| 분야≠ | 경제학 | 의사결정 |
| 계열≠ | Process / pipeline | MCDM |
| 기원 연도 | 1978 | 1978 |
| 창시자≠ | Charnes, Cooper & Rhodes (building on Farrell 1957) | Charnes, A., Cooper, W. W., Rhodes, E. |
| 유형≠ | Nonparametric linear-programming efficiency frontier | Non-parametric efficiency frontier (CCR model) |
| 원전≠ | Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. DOI ↗ | Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗ |
| 별칭≠ | DEA Efficiency Analysis, Nonparametric Frontier Efficiency, CCR/BCC Efficiency Measurement, Production Frontier DEA | — |
| 관련≠ | 5 | 0 |
| 요약≠ | Data envelopment analysis (DEA) is a nonparametric, linear-programming technique for measuring the relative productive efficiency of comparable units — firms, plants, hospitals, schools, bank branches — that convert multiple inputs into multiple outputs. Introduced by Charnes, Cooper, and Rhodes in 1978 and rooted in Farrell's 1957 work on efficiency measurement, it constructs a best-practice frontier that envelops the observed data and scores each unit by its distance to that frontier, requiring no assumed functional form for the production technology. | 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. |
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