%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