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एप्सिलॉन-आधारित माप डीईए (Epsilon-Based Measure DEA)×दक्षता-आधारित रैंकिंग के लिए डेटा एनवेलपमेंट एनालिसिस (CCR मॉडल)×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष20101978
प्रवर्तकKaoru ToneCharnes, A., Cooper, W. W., Rhodes, E.
प्रकारNon-parametric efficiency analysis with slack treatmentNon-parametric efficiency frontier (CCR model)
मौलिक स्रोतTone, 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 ↗
उपनामEBM-DEA, Epsilon Measure DEA
संबंधित10
सारांशEpsilon-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.
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