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 :
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