Grey generation rate relational analysis model based on grey exponential law and its application

被引：0
|
作者：
Li, Xue-Mei [1 ]
Dang, Yao-Guo [1 ]
Wang, Jun-Jie [1 ]
机构：
[1] College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing,211106, China
来源：
Kongzhi yu Juece/Control and Decision | 2015年 / 30卷 / 07期
关键词：
Quality control;
D O I：
10.13195/j.kzyjc.2014.0364
中图分类号：
C93 [管理学]; T [工业技术];
学科分类号：
08 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
The existing grey relational analysis examines the geometric similarity or proximity of data directly or after dimensionless without considering other kinds of law. Therefore, the grey generation rate relational analysis model based on the grey exponential law is proposed. Firstly, the original data is accumulated, and the generation rate is established. The dynamic change trend similarity of the original time series is characterized by the proximity of generation rate sequence. Then, qualities of the grey generation rate relational analysis model are researched. Finally, factors which affect traffic congestion degree in China are researched by using the proposed grey generation rate relational analysis model. This application is presented to illustrate the effectiveness and practicality of the proposed model. ©, 2015, Northeast University. All right reserved.
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收藏
页码：1245 / 1250
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