Data Envelopment Analysis (DEA) is a mathematical programming approach to assess the relative efficiencies of decision making units with multiple inputs and outputs.
DEA是评价一组具有多输入和多输出的决策单元相对效率的数学规划方法。
It involves a lot of intercross subjects and technologies such as machine learning, mathematical programming, statistics, pattern recognition and so on.
它是一门交叉学科,涉及机器学习、数学规划、数理统计、模式识别等相关技术。