A Ranking Model According to Grey Analysis Theory Based on Cross-evaluation Strategy

被引：0

作者：

Zhang Juan ^{[1
]}

Dang Yaoguo ^{[2
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing, Jiangsu, Peoples R China

[2] Nanjing Univ Aeronaut & Astronaut, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS) | 2015年

关键词：

data envelopment analysis (DEA); cross-efficiency evaluation; grey relational analysis; EFFICIENCY; DEA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data envelopment analysis (DEA) is a useful method for evaluating the relative efficiency of Decision Making Units (DMUs), and the cross-efficiency evaluation method has been proposed for ranking. To solve the non-uniqueness of the value of cross-efficiency evaluation, this paper uses the idea of grey relational analysis and defines the ideal DMU, then calculates the grey relational degree of each DMU with the ideal DMU. The new DEA model determines input and output weights depending on the maximum value of the grey relational degree between each DMU and the IDMU, then the cross-efficiency value of all DMUs can be determined and used for ranking. Finally, a numerical example is used to illustrate the efficiency of the new model.

引用

页码：199 / 202

页数：4

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