1. Abbasov, A.M.,and Mamedova, M.H., 2003. Application of fuzzy time series to population forecasting. Vienna University of Technology. 12: 545-552.
2. Abreu, P. H., Silva, D. C., Mendes-Moreira, J., Reis, L. P.,and Garganta, J., 2013. Using multivariate adaptive regression splines in the construction of simulated soccer team's behavior models. International Journal of Computational Intelligence Systems. 6(5): 893-910.
3. Aladag, S., Aladag, C. H., Mentes, T.,and Egrioglu, E., 2012. A new seasonal fuzzy time series method based on the multiplicative neuron model and SARIMA. Hacettepe Journal of Mathematics and Statistics. 41(3): 145-163.
4. Bas, E., Vedide, Uslu, V.R.,Yolcu, U., andEgrioglu, E., 2014. A modied genetic algorithm for forecasting fuzzy time series. Applied Intelligence, 41(2): 453-463.
5. Box, G. E. P.,and Jenkins, G. M., 1970. Time series analysis: Forecasting and control. Holden-Day. San Fancisco, 546 pages.