@article{(Open Science Index):https://publications.waset.org/pdf/15438,
	  title     = {A Comparison of Grey Model and Fuzzy Predictive Model for Time Series},
	  author    = {A. I. Dounis and  P. Tiropanis and  D. Tseles and  G. Nikolaou and  G. P. Syrcos},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {6},
	  year      = {2008},
	  pages     = {2263 - 2268},
	  ee        = {https://publications.waset.org/pdf/15438},
	  url   	= {https://publications.waset.org/vol/18},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 18, 2008},