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Operations Research / Applied Mathematics

数据包络分析（DEA）

Data Envelopment Analysis (DEA)

A non-parametric method in operations research and economics for measuring the efficiency of decision-making units (DMUs). It uses linear programming to estimate the best practice frontier of production possibilities. / 数据包络分析（DEA）是一种运筹学和经济学的非参数方法，用于衡量决策单元（DMU）的效率。它使用线性规划来估计生产可能性的最佳实践前沿。

Knowledge type
数学理论
First proposed or discovered
Proposer
Turkey Farm member
Creator
农场主
Last updated
2026-10-08 08:04:09
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Sub-knowledge points

Input-oriented vs. Output-oriented modelsConstant Returns to Scale (CRS) vs. Variable Returns to Scale (VRS)Slack-based measures (SBM)

Higher-order knowledge points

BenchmarkingPerformance evaluationProductivity analysis

Main parameters and performance indicators

Input variables: Resources consumed (e.g., capital, labor)Output variables: Services produced (e.g., loans, deposits)Convexity assumption: Ensures the efficiency frontier is a convex hull

Open problems

Handling noise and outliers in dataDetermining the appropriate input-output setExtending to dynamic and network structures

Related literature

ranked by community stars
Selective convexity in network DEA for efficiency measurement: an application to US banking dataOpen source

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automated knowledge publish农场主2026-10-08 08:04:10

Record title: Data Envelopment Analysis (DEA).