Title :
Research on grey function analysis model(1,1) considering moutiple factors´ impacting on system
Author :
Tao Yong ; Shan Xiaofei ; Mi Chuanmin
Author_Institution :
Coll. of Econ. & Manage., NUAA, Nanjing, China
Abstract :
Because of the internal and external factors´ influence, catastrophe occurs frequently in the economic system. Most of the current prediction models which use historical data will fail if catastrophe occurs. This paper establishes GFAM (1, 1) which is an grey function model (1,1) based on functional theory, Bayesian Network theory and Interval Grey Number theory. More precise prediction can be made with this model by fully mining the existing data. Steps of GFAM (1, 1) are given in the paper. Finally a case is analyzed to prove the effectiveness of the model.
Keywords :
Bayes methods; catastrophe theory; economic indicators; grey systems; network theory (graphs); number theory; Bayesian network theory; GFAM (1,1); catastrophe; economic system; external factors; functional theory; grey function analysis model(1,1); internal factors; interval grey number theory; prediction models; Bayes methods; Biological system modeling; Data models; Economic indicators; Investment; Predictive models; 1); GFAM(1; Interval Grey Number; grey dynamic prediction; grey functional;
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4673-5247-5
DOI :
10.1109/GSIS.2013.6714756
