DocumentCode :
173612
Title :
A new optimized grey verhulst model and its application
Author :
Song Ding ; Yao-guo Dang
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
1681
Lastpage :
1686
Abstract :
In order to improve the precision of grey forecasting model, an optimized grey verhulst model based on grey prediction modeling mechanism is proposed in this paper. At first, the traditional grey verhulst model is given and an inherent error is found for this model. Then, a new method is used to construct the optimized grey derivative. Furthermore, auxiliary parameters are proposed, and original parameters can be restored by equations which meet the property of unbiasedness. In the last section, the new model is used to check the property of unbiasedness and forecast the development cost of Y125. This application is presented to illustrate the effectiveness and practicality of the proposed model.
Keywords :
forecasting theory; grey systems; optimisation; Y125 development cost; auxiliary parameters; grey forecasting model; grey prediction modeling mechanism; optimized grey derivative; optimized grey verhulst model; Data models; Differential equations; Forecasting; Load modeling; Mathematical model; Predictive models; Time factors; auxiliary parameters; grey derivative; grey verhulst model; unbiasedness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974158
Filename :
6974158
Link To Document :
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