A new model for efficiency estimation and evaluation: DEA-RA-inverted DEA model

被引：0
|
作者：
Zhang, Bingjiang [1 ]
Su, Shilan [2 ,3 ]
Gong, Qizhou [1 ]
机构：
[1] School of Applied Science, Beijing Information Science and Technology University, Beijing,100096, China
[2] School of Mathematics and Computer Science, Shaanxi University of Technology, Shaanxi, Hanzhong,723001, China
[3] School of Journalism and Communication, Beijing Normal University, Beijing,100875, China
来源：
International Journal of Applied Decision Sciences | 2024年 / 17卷 / 06期
关键词：
Data envelopment analysis (DEA) is widely used in various fields and for various models. Inverted data envelopment analysis (inverted DEA) is an extended model of DEA. Regression analysis (RA) is a statistical process for estimating the relationships among variables based on the model of averaged image. There are no essential relations among DEA and RA and inverted DEA. We creatively combine DEA; RA and inverted DEA to propose a new model: DEA-RA-Inverted DEA model. The model realises the efficiency estimation and evaluation through a discussion of the residual variables and the residual ratio coefficients. In addition; we will demonstrate the effectiveness of the model by applying it to efficiency estimation and evaluation of 16 Chinese logistics enterprises. © 2024 Inderscience Enterprises Ltd;
D O I：
10.1504/IJADS.2024.141827
中图分类号：
学科分类号：
摘要：
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页码：733 / 748
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