DocumentCode :
2231914
Title :
Introduction of time series data analysis using grey system theory
Author :
Shimizu, Norihito ; Ueno, Osamu ; Komata, Chikara
Author_Institution :
Info-Telematics R&D Div., Yazaki Corp., Shizuoka, Japan
Volume :
2
fYear :
1998
fDate :
21-23 Apr 1998
Firstpage :
67
Abstract :
We consider an application of the grey system theory to the time series data forecasting problem, called grey forecasting, where grey implies incomplete or uncertain, and grey system describes a system lacking information about structure messages, operation mechanism and/or behavior documents. In a case of bad data lacking information, the grey forecasting method is known to be effective in time series data analysis. We present the design of grey forecasting model, and compare it with the conventional method
Keywords :
data analysis; forecasting theory; grey systems; time series; data analysis; grey forecasting; grey system theory; time series; uncertainty; Control systems; Data analysis; Decision making; Difference equations; Differential equations; Intelligent systems; Mathematics; Predictive models; Research and development; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
Type :
conf
DOI :
10.1109/KES.1998.725894
Filename :
725894
Link To Document :
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