A new multivariable grey prediction model with structure compatibility

A new multivariable grey prediction model was proposed by adding a dependent variable lag term, a linear correction term and a random disturbance term to the traditional GM(1,N) model. It was theoretically proved that the new model can be completely compatible with the mainstream single variable and...

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Veröffentlicht in:Applied Mathematical Modelling Jg. 75; S. 385
Hauptverfasser: Zeng, Bo, Duan, Huiming, Zhou, Yufeng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier BV 01.11.2019
Schlagworte:
Computer simulation
Dependent variables
Grey prediction
ISSN:1088-8691, 0307-904X
Online-Zugang:Volltext
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Zusammenfassung:A new multivariable grey prediction model was proposed by adding a dependent variable lag term, a linear correction term and a random disturbance term to the traditional GM(1,N) model. It was theoretically proved that the new model can be completely compatible with the mainstream single variable and multivariable grey prediction models by adjusting and changing the model's parameters. To test the performance of the new model, three case studies were performed. The simulation and prediction results of the new model were compared with those of other grey prediction models. Results showed that the new model had evidently superior performance to other grey models, which confirms that the structure design of the new model is more reasonable than those of the other existing grey prediction models.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1088-8691
0307-904X
DOI:10.1016/j.apm.2019.05.044