Modeling Method of the Grey GM(1,1) Model with Interval Grey Action Quantity and Its Application
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
GM(1,1) is a univariate grey prediction model with incomplete structural information, in which the real number form of the simulation or prediction data does not conform to the Nonuniqueness Principle of Grey theoretical solution.
In light of the network model of GM(1,1), the connotation of grey action quantity is systematically analyzed and the interval grey number form of grey action quantity is restored under uncertain influencing factors.
A novel GM(1,1) model is then constructed.
The new model has the basic characteristics of the grey model under incomplete information.
Moreover, it can be fully compatible with the traditional GM(1,1) model.
The developed model is employed to the natural gas consumption prediction in China, showing that its predicting rationality is much better than that of the traditional GM(1,1) model.
It is worth mentioning that, for the first time, the grey property of GM(1,1) has been restored in structure, which is of significance for both academia and industry.
American Psychological Association (APA)
Zeng, Bo& Ma, Xin& Shi, Juanjuan. 2020. Modeling Method of the Grey GM(1,1) Model with Interval Grey Action Quantity and Its Application. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1142937
Modern Language Association (MLA)
Zeng, Bo…[et al.]. Modeling Method of the Grey GM(1,1) Model with Interval Grey Action Quantity and Its Application. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1142937
American Medical Association (AMA)
Zeng, Bo& Ma, Xin& Shi, Juanjuan. Modeling Method of the Grey GM(1,1) Model with Interval Grey Action Quantity and Its Application. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1142937
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142937