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Data Envelopment Analysis (Productivity)×DEA×
NyanjaUchumiUfanyaji Maamuzi
FamiliaProcess / pipelineMCDM
Mwaka wa asili19781978
MwanzilishiCharnes, Cooper & Rhodes (building on Farrell 1957)Charnes, A., Cooper, W. W., Rhodes, E.
AinaNonparametric linear-programming efficiency frontierNon-parametric efficiency frontier (CCR model)
Chanzo asiliaCharnes, 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 ↗
Majina mbadalaDEA Efficiency Analysis, Nonparametric Frontier Efficiency, CCR/BCC Efficiency Measurement, Production Frontier DEA
Zinazohusiana50
MuhtasariData 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.
ScholarGateSeti ya data
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  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Data Envelopment Analysis (Productivity) · DEA. Imepatikana 2026-06-24 kutoka https://scholargate.app/sw/compare