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Increasing the Discriminatory Power of DEA Using Shannon's Entropy
Xie, Qiwei1,2; Dai, Qianzhi3; Li, Yongjun3; Jiang, An4; Yongjun Li
Source PublicationENTROPY
2014-03-01
Volume16Issue:3Pages:1571-1585
SubtypeArticle
AbstractIn 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.
KeywordData Envelopment Analysis (Dea) Discrimination Improvement Shannon's Entropy
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordDATA ENVELOPMENT ANALYSIS ; RANKING EFFICIENT UNITS ; UNDESIRABLE OUTPUTS ; MODELS ; VARIABLES ; DIMENSIONALITY
Indexed BySCI
Language英语
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000334248200021
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3048
Collection国家专用集成电路设计工程技术研究中心
Corresponding AuthorYongjun Li
Affiliation1.Toyota Technol Inst, Dept Elect & Informat, Nagoya, Aichi 4688511, Japan
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Univ Sci & Technol China, Sch Business, Hefei 230026, Anhui, Peoples R China
4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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,&Yongjun Li.(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.
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