Azadeh, A., Arab, R. & Behfard, S. (2010). An adaptive intelligent algorithm for forecasting long term gasoline demand estimation: The cases of USA, Canada, Japan, Kuwait and Iran. Expert Systems with Applications, 37:
Chitnis, M. (2005). Estimating price elasticity of gasoline demand using structural time series models and concept of implicit trend. Economics Research Quarterly, 5(3): 1-16. (In Persian)
Crotte, A., Noland, R. B. & Graham, D. J. (2010). An analysis of gasoline demand elasticities at the national and local levels in Mexico. Energy Policy, 38: 4445–4456.
Eltony, M. N. & Al-Mutairi, N. H. (1995). Demand for gasoline in Kuwait, Energy Economics. Energy Economics, 17(3): 249-253.
Gojorati, D. (2010). Principles of Econometrics, Abrishami, H., University of Tehran Press. Tehran. (In Persian)
Khataei, M. & Eghdami, P. (2005). Analysis of price elasticity of gasoline demand in Iran Land transportation and predicting it by the year 1394. Iran Economics Researches, 7(25): 23-46. (In Persian)
Ministry of power (2009). Energy balance sheet 1387, Deputy of Energy. Tehran. (In Persian)
Montgomery, D. C. & Peck, E. A. (1982). Introduction to Linear Regression Analysis, Wiley. New York.
Norozi, H. & Salgi, M. (2006). Surveying Effect of different price scenarios on gasoline. Energy Economics Studies Quarterly. 3(11): 64-83. (In Persian)
Park, S .Y. & Zhao, G. (2010). An estimation of U.S gasoline demand: A smooth time-varying cointegration approach. Energy Economics, 32: 110–120.
Sadeghi, H., Zolfaghari, M. & Heidarzadeh, M. (2009). Estimation of gasoline demand function in transportation sector using genetic algorithm. Energy Economics Studies Quarterly. 6(21): 1-27. (In Persian)
Savic, D. A., Pedrycz, W. (1991). Evaluation of fuzzy linear regression models. Fuzzy Sets and Systems, 39(1): 51-63.
Sene, M. N. & Al-Mutairi, N. H. (2011). Estimating the demand for gasoline in developing countries: Senegal. Energy Economics, In Press.
Shakeri, A., Mohammadi, T., Jahangard, A. & Moosavi, M. (1389). Estimating structural model of demand for gasoline and gas oil in Iran transport sector. Energy Economics Studies Quarterly. 7(25): 1-31. (In Persian)
Stern, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World, McGraw-Hill.Irwin.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning I. Inform. Sci., 8: 199-249.
Zaranejad, M. & Ghapanchi, F. (2007). Estimating Error correction model for gasoline demand in Iran. Business Research Quarterly, 42: 29-52. (In Persian)