Unequal Interval GM(1,1) Model of Weighted Coefficient Adjustment and its Application

Article Preview

Abstract:

Although the grey forecasting model has been successfully adopted in various fields and has been demonstrated prospected aspect. The paper makes the original data multiply the time interval to get the accumulated sequence and uses the difference quotient method to establish the unequal interval GM(1,1) model. In order to reduce the error the paper adopts the weighted coefficient to revise the background values. By fitting and predicting the fatigue strength data it proves the method in the paper is effective which improves the accuracy of the model. It provides an effective way for the grey system application.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

428-431

Citation:

Online since:

March 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Deng Julong:The theory of grey system ,Wuhan Huazhong University of technology and science press(1990), p.189.

Google Scholar

[2] Xiang Yuelin, Exploration of noise environmental quality assessment method. Journal of yunnan environmental science. (1997), p.10.

Google Scholar

[3] Pang Xuebei Grey predictive and its application to the metal cutting theory, New technology and new techniques(2002), p.11.

Google Scholar

[4] Luo Youxin Non-equidistance GM(1,1) model and its application in fatigue experimental data processing and on-line control, Journal of mechanical strength(1996), p.60.

Google Scholar

[5] Ching-Chang Wong, chia-Chong Chen(1999) A simulated annealing approach to switching grey prediction fuzzy control system design, International journal of System Science, p.341.

DOI: 10.1109/fuzzy.1998.687548

Google Scholar

[6] Dai Wenzhan, Li Junfeng The research of unequal interval GM(1,1) model, Systems engineering-theory & practice(2005), p.89.

Google Scholar

[7] WANG Zheng-xin, DANG Yao-guo, LIU si-feng Optimization of Background Value in GM(1,1) Model, Systems engineering-theory & practice(2008),p .61.

Google Scholar