DocumentCode
3100405
Title
Multi-variable grey model and application based on synthetic integrated factors
Author
Hui, Hong-qi ; Niu, Zhen-hua
Author_Institution
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
5
fYear
2009
fDate
12-15 July 2009
Firstpage
2593
Lastpage
2597
Abstract
Social and economic system is a multilevel and nonlinear complicated system affected by multifactors with grey characteristics. Currently existing data are short-term, incomplete or fluctuated, which makes grey forecast method attract more attention. On the basis of grey incidence, integrate the factors with the same incidence level to a factor with no magnitude. By taking incidence value as weight to normalize sequence data, set up multivariable grey model to forecast, which can solve the problem of grey factors selection. The synthetic integrated model has better precision and fitting degree. Case studies indicate that better forecast results can be obtained.
Keywords
forecasting theory; grey systems; multivariable systems; nonlinear systems; economic system; grey forecast method; multivariable grey model; nonlinear complicated system; social system; synthetic integrated factor; Conference management; Cybernetics; Economic forecasting; Electronic mail; Engineering management; Machine learning; Predictive models; Stochastic processes; Stochastic systems; Technology management; Grey forecast; MGM(1, n) model; Synthetic integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212654
Filename
5212654
Link To Document