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

fYear

2013

fDate

15-17 Nov. 2013

Firstpage

108

Lastpage

112

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Grey Systems and Intelligent Services, 2013 IEEE International Conference on

Conference_Location

Macao

ISSN

2166-9430

Print_ISBN

978-1-4673-5247-5

Type

conf

DOI

10.1109/GSIS.2013.6714756

Filename

6714756