Unbiased grey prediction model of interval grey numbers and its application by using Cramer rule

被引：0
|
作者：
Li S.-L. [1 ]
Zeng B. [1 ]
Meng W. [1 ]
机构：
[1] College of Business Planning, Chongqing Technology and Business University, Chongqing
来源：
Kongzhi yu Juece/Control and Decision | 2018年 / 33卷 / 12期
关键词：
Cramer rule; Grey system; Interval grey number; Parameters estimation; Prediction model; Unbiased modeling;
D O I：
10.13195/j.kzyjc.2017.1150
中图分类号：
学科分类号：
摘要：
Based on the white sequence and grey sequence of an interval grey number sequence of standardization, two new unbiased grey prediction models are built respectively in order to improve the accuracy of the interval grey number prediction model. The method of parameter estimation of the model is studied, and its time response expression and the final restored expression are deduced by using Cramer rule. Finally, the proposed model is applied to forecast the number of urban migrant workers, and compared with the existing method. The results show that the performance of the proposed grey model is superior to the traditional prediction model of interval grey number. The result has a positive significance on enriching and perfecting the system of the interval grey number prediction model methods. © 2018, Editorial Office of Control and Decision. All right reserved.
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收藏
页码：2258 / 2262
页数：4
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