Aladin, N., and Plotnikov, I. (2004). The Caspian sea, Lake Basin Management Initiative.
The Caspian sea, Lake Basin Management Initiative, Russia.. Ghangherme, A. (2004). The oscillatory behavior of the water level in the Caspian sea water balance.
Workshop on Caspian Sea Issues, Particulary the Management Governors and Mayors of the Coastal Province of Gilan, Rasht.. Ghangherme, A., and Ramesht, M. H. (2005). Can the fluctuations of the Caspian sea be controlled?.
Isfahan Univerisity, Isfahan. Malinin, V. M. (2004). The problem of the Caspian sea level forescast.
Caspian Sea Natioanl Research Center, Sari. Klige, R. K. (1992). The history of variations in the level of the caspian sea.
Caspian Sea National Research Center, Sari. Bolgov, M. V., Trubetskova, M. D., and Filimonova, M. K. (2004). On the problem of the Caspian sea level forecasting.
Water Problems Institute, Russian Academy of Sciences, Russia. Bolgov, M.V. (2005). Stochastic models in a problem of the Caspian sea level forecasting.
ISSH International Symposium on Stochastic Hydraulics, Nijmegen, Netherlands. , 23-27 Ghangherme, A. (1997). Continental changing and behavior of Caspian sea level.
Armed Forces Geographical Organization, Tehran. Montgomeri, D. C., and Peck, E. A. (2003). Introduction to linear regression analysis.
2nd Ed., Translated by Razavi Parizi, Shahid Bahonar University, Kerman.. Box, G.P., and Jenkins, G.M. (1976). Time series analysis: Forecasting and control.
Holden-day Inc., San Francisco, CA.. Tseng, F., Tzeng, G., Yu, H., and Yuan, B. (2001). Fuzzy ARIMA model for forecasting the foreign exchange market.
Fuzzy Sets and Systems. 118, 9-19 Jones, A. J. (2004). New tools in non-linear modelling and prediction.
Computational Management Science. 1, 109-149 Tanaka, H., Uejima, H., and Asai, K. (1982). Linear regression analysis with fuzzy model.
IEEE Trans. Systems Man Cabernet. 12, 903-907 Pouzols, M., Lendasse, A., and Barriga, A. (2008). Fuzzy inference based autoregressors for time series prediction using nonparametric residual variance estimation.
International Conference on Fuzzy Systems (IEEE), Sofia, Bulgaria. , 613-618 Ramezai Mozirji, F., and Yaghoobi, M. (2009). New method in time series predication based on fuzzy autoregressors.
3rd Joint Congress on Fuzzy and Intelligent System, Yazd. Bargiela, A., Pedrycz, W., and Nakashima, T. (2007). Multiple regression with fuzzy data..
Fuzzy Sets and Systems. 158, 2169-2188 Wang, L., and Mendel, J. M. (1992). Generating fuzzy rules by learning from examples.
IEEE Transactions on Systems, Man, and Cybernetics. 22 (4), 1414-1427 CSNR. (2009). Water and meterological databases.
http://www.csnrc.ir.