%0 Journal Article
	%A A. I. Dounis and  P. Tiropanis and  D. Tseles and  G. Nikolaou and  G. P. Syrcos
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 18, 2008
	%T A Comparison of Grey Model and Fuzzy Predictive Model for Time Series
	%U https://publications.waset.org/pdf/15438
	%V 18
	%X The prediction of meteorological parameters at a
meteorological station is an interesting and open problem. A firstorder
linear dynamic model GM(1,1) is the main component of the
grey system theory. The grey model requires only a few previous data
points in order to make a real-time forecast. In this paper, we
consider the daily average ambient temperature as a time series and
the grey model GM(1,1) applied to local prediction (short-term
prediction) of the temperature. In the same case study we use a fuzzy
predictive model for global prediction. We conclude the paper with a
comparison between local and global prediction schemes.
	%P 2263 - 2268