Multivariable time-lag damping accumulated grey model and its application

被引：0
作者：
Luo, Dang [1 ]
Li, Liang-Shuai [2 ]
机构：
[1] School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou
[2] School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou
来源：
Kongzhi yu Juece/Control and Decision | 2024年 / 39卷 / 08期
关键词：
damping accumulated generation operator; grain yield prediction; grey prediction system; new and old information; time-lag effect;
D O I：
10.13195/j.kzyjc.2023.0499
中图分类号：
学科分类号：
摘要：
Based on the time-lag effect in the realistic behavior system and the need to distinguish the old from the new information and the uncontrollable prediction trend in the multivariable grey prediction system, by introducing an improved damping accumulated generation operator and time-lag coefficient, a multivariable time-lag damping accumulated grey model (TLDAGM(1, N)) and its extended form are proposed, which can theoretically achieve compatibility with traditional multivariable grey prediction models. The parameter estimation method and solution method of the model are discussed, the parameter optimization method and specific model steps of the model are given. Finally, the model is applied to the prediction of the output value of high-tech enterprises in China and the grain yield in Henan province and compared with the traditional multivariate grey prediction model. The results show that the simulation accuracy and prediction accuracy of the proposed model are significantly better than those of the traditional multivariable grey prediction model. The model is able to better identify the time-lag, validity, significance and trend factors of the time-series contained in the data generated by different factors in the multivariable system at different times. The results of the empirical analysis verify the rationality, applicability and validity of the proposed model. © 2024 Northeast University. All rights reserved.
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页码：2703 / 2710
页数：7
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