中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Increasing the Discriminatory Power of DEA Using Shannon's Entropy

文献类型:期刊论文

作者Xie, Qiwei ; Dai, Qianzhi ; Li, Yongjun ; Jiang, An
刊名ENTROPY
出版日期2014
卷号16期号:3页码:1571-1585
关键词data envelopment analysis (DEA) discrimination improvement Shannon's entropy
ISSN号1099-4300
中文摘要In many data envelopment analysis (DEA) applications, the analyst always confronts the difficulty that the selected data set is not suitable to apply traditional DEA models for their poor discrimination. This paper presents an approach using Shannon's entropy to improve the discrimination of traditional DEA models. In this approach, DEA efficiencies are first calculated for all possible variable subsets and analyzed using Shannon's entropy theory to calculate the degree of the importance of each subset in the performance measurement, then we combine the obtained efficiencies and the degrees of importance to generate a comprehensive efficiency score (CES), which can observably improve the discrimination of traditional DEA models. Finally, the proposed approach has been applied to some data sets from the prior DEA literature.
WOS记录号WOS:000334248200021
公开日期2015-03-24
源URL[http://ir.rcees.ac.cn/handle/311016/9390]  
专题生态环境研究中心_环境化学与生态毒理学国家重点实验室
推荐引用方式
GB/T 7714
Xie, Qiwei,Dai, Qianzhi,Li, Yongjun,et al. Increasing the Discriminatory Power of DEA Using Shannon's Entropy[J]. ENTROPY,2014,16(3):1571-1585.
APA Xie, Qiwei,Dai, Qianzhi,Li, Yongjun,&Jiang, An.(2014).Increasing the Discriminatory Power of DEA Using Shannon's Entropy.ENTROPY,16(3),1571-1585.
MLA Xie, Qiwei,et al."Increasing the Discriminatory Power of DEA Using Shannon's Entropy".ENTROPY 16.3(2014):1571-1585.

入库方式: OAI收割

来源:生态环境研究中心

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