Cross-direction environmental performance evaluation based on directional distance function in data envelopment analysis

被引：5
|
作者：
Xiong, Beibei [1 ]
Zou, Yuqing [2 ]
An, Qingxian [2 ]
Yan, Xia [3 ]
机构：
[1] Hunan Univ, Business Sch, Changsha 410082, Hunan, Peoples R China
[2] Cent South Univ, Sch Business, Changsha 410083, Hunan, Peoples R China
[3] Southwest Univ Sci & Technol, Sch Econ & Management, Mianyang 621010, Peoples R China
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2022年 / 203卷
基金：
中国国家自然科学基金;
关键词：
Directionaldistancefunction; Environmentalperformance; Cross-directionevaluation; Polarcoordinates; Undesirableoutputs; EFFICIENCY EVALUATION; CLOSEST TARGETS; DEA; INVARIANT; MODELS; INPUTS; COSTS; UNITS;
D O I：
10.1016/j.eswa.2022.117327
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
When using directional distance function (DDF) for efficiency evaluation, each decision-making unit tends to choose the direction that maximizes its own efficiency for evaluation, which may cause the efficiency score to be overestimated and unrecognized by others. This paper is concerned with the fair evaluation of the DDF in data envelopment analysis. The concept of cross evaluation is introduced into the environmental performance eval-uation based on DDF, and then a new cross-direction evaluation method considering undesirable outputs is proposed. In addition, we propose a new direction vector scanning method based on polar coordinates to realize the peer-evaluation of efficient decision-making unit. Finally, our approach is applied to analyze the trans-portation industry.
引用
收藏
页数：9
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