Vector Extremal and Stochastic Extensions of Data Envelopment Analysis

数据包络分析的向量极值和随机扩展

• 批准号: 9123100
• 负责人: Patrick Brockett
• 金额: $ 5.78万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-05-01 至 1993-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9123100&HistoricalAwards=false
• 关键词: Vector; Extremal; Stochastic; Extensions; Data

This project involves the extension of Data Envelopment Analysis (DEA) to situations involving stochastic inputs. DEA is a techniques for combining variables which differ in their scale properties in order to produce decision functions. DEA has been applied to a wide range of processes including manufacturing productivity, audit of managerial performance, choice and location of unique facilities, hospital efficiency, branch bank management, financial management, and marketing/sales efficiency. The stochastic extensions of DEA are computationally intensive and computer software will be developed and tested to enable practical application of the procedures.

该项目涉及将数据包络分析（DEA）扩展到涉及随机输入的情况。DEA是一种将尺度性质不同的变量组合在一起以产生决策函数的技术。DEA已广泛应用于生产效率、管理绩效审计、独特设施的选择和位置、医院效率、分行管理、财务管理和营销/销售效率等过程。DEA的随机扩展需要大量的计算，将开发和测试计算机软件，使这些程序能够实际应用。