A Hybrid Algorithm to Forecast Enrolment Based on Genetic Algorithms and Fuzzy Time Series

Haneen Talal Al-wazan1, Kais Ismail Ibraheem2, and Abdul Ghafoor Jasim Salim1
 1Department of Mathematics, Mosul University, Iraq
2Department of Computers Sciences, Mosul University, Iraq

Abstract: In this paper, we proposed a hybrid algorithm to forecast enrolment based on fuzzy time series and genetic algorithms, the proposed algorithms presents a good forecasting result with higher accuracy rate. Historical enrolment of the University of Alabama from year 1948 to 2010 are used in this study to illustrate the forecasting process.

Keywords: Fuzzy time series forecasting, genetic algorithms prediction.

 

Received July 25, 2012; accepted January 15, 2013

  

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