[
Abbasinejad, H., & Goodarzi Farahani, Y. (2013). Eghtesad sanjie karbordi ba narm afzarhaye Microfit va Eviews [Applied econometric with Microfit and Eviews softwares] (1st ed.). Tehran: Noore Elm Publication. (in Persian)
]Search in Google Scholar
[
Acaravci, A., & Ozturk, I. (2010, December). On the relationship between energy consumption, CO2 emissions and economic growth in Europe. Energy, 35(12), 5412-5420. doi: 10.1016/j.energy.2010.07.00910.1016/j.energy.2010.07.009
]Search in Google Scholar
[
Amiri, M. (2010). Group selection for the selection of machine tools with using fuzzy VIKOR method. Journal of Industrial Management Studies, 6(16), 167-188. doi: JR_JIMS-6-16_007
]Search in Google Scholar
[
Banerjee, A., Dolado, J. J., & Mestre, R. (1993). On some simple tests for cointegration: The cost of simplicity. Madrid: Banco de España, Servicio de Estudios.
]Search in Google Scholar
[
Dubois, D., & Prade, H. (1980). Fuzzy sets and systems: Theory and applications (Mathematics in Science & Engineering, Vol. 114). New York: Academic Press.
]Search in Google Scholar
[
Energy Information Administration [EIA]. (2016). Total Carbon Dioxide Emissions from the Consumption of Energy. Washington, DC: Author. Retrieved from https://www.eia.gov/beta/international/data/browser/#/?pa=00000000000000000000000000000000000000000000000000000001&c=0000000000000000000002&ct=0&tl_id=40-A&vs=INTL.4008-8-IRN-MMTCD.A&ord=CR&cy=2009&vo=0&v=H&end=2016
]Search in Google Scholar
[
Fukami, S., Mizumoto, M., & Tanaka, K. (1980). Some considerations is fuzzy conditional inference. Fuzzy Sets and Systems, 4(3), 243-273. doi: 10.1016/0165-0114(80)90014-710.1016/0165-0114(80)90014-7
]Search in Google Scholar
[
Hamit-Haggar, M. (2012). Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from the Canadian industrial sector perspective. Energy Economics, 34(1), 358-364. doi: 10.1016/j.eneco.2011.06.00510.1016/j.eneco.2011.06.005
]Search in Google Scholar
[
Ishibuchi, H., & Tanaka, H. (1988). Kongō 0-1 seisū keikaku mondai niyoru kukan kaiki bunseki [Interval regression analysis based on mixed 0-1 integer programming problem]. Journal of Japanese Industrial Management Association, 40(5), 312-319. (in Japanese)
]Search in Google Scholar
[
Jafari Samimi, A., & Mohammadi Khayareh, M. (2014). Rabeteye kootah modat va boland modat beyne enteshare di okside karbon, masrafe enerji va roshde eghtesadi: shavahede jadid dar iran [Short-term and long-term relationship between carbon dioxide emissions, energy consumption and economic growth: New evidence in Iran]. Economic Researches, 14(2), 1-20. (in Persian)
]Search in Google Scholar
[
Johansen, S., & Juselius, K. (1992). Testing structural hypotheses in a multivariate coin-tegration analysis of the PPP and the UIP for UK. Journal of Econometrics, 53(1-3), 211-244. doi: 10.1016/0304-4076(92)90086-710.1016/0304-4076(92)90086-7
]Search in Google Scholar
[
Kazemi, A., & Hosseinzadeh, M. (2012). Pishbinie taghazaye bargh dar bakhshhaye mokhtalefe Iran ba estefadeh az regression khatie fazi [Forecasting electricity demand in different parts of Iran using fuzzy linear regression.] The 9th International Energy Conference, 2nd and 3rd of March, Tehran, Iran. (in Persian)
]Search in Google Scholar
[
Lotfalipour, M., R. Fallahi, M. A., & Ashena, M. (2011). Investigating the relationship between carbon dioxide emissions and economic growth, energy and trade in Iran. Journal of Economic Research, 46(1), 151-173. doi: 10.1016/j.energy.2010.08.00410.1016/j.energy.2010.08.004
]Search in Google Scholar
[
Ministry of Energy of Iran. (2010). Energy Balance Sheet of Iran. Tehran: Author. Retrieved from http://pep.moe.gov.ir/%D8%A7%D9%86%D8%AA%D8%B4%D8%A7%D8%B1%D8%A7%D8%AA/%D8%B3%D8%B1%DB%8C-%D8%B2%D9%85%D8%A7%D9%86%DB%8C/%D8%B3%D9%87%D9%85-%D9%88-%D8%B1%D8%B4%D8%AF-%D8%AF%D8%B1-%D8%AA%D8%B1%D8%A7%D8%B2%D9%86%D8%A7%D9%85%D9%87-%D8%A7%D9%86%D8%B1%DA%98%DB%8C
]Search in Google Scholar
[
Moghaddasi, R., & Golriz Ziaei, Z. (2011). Barrasie rabeteyeh beyne enteshare gaze di okside karbon va tolide nakhalese dakheli bar asase dadehaye tarkibi [Investigating the relationship between carbon dioxide gas emissions and gross domestic product based on combined data]. Economics and Agricultural Development Studies, 25(4), 480-487. doi: 10.22067/jead2.v0i0.12187 (in Persian)
]Search in Google Scholar
[
Mohammad Bagheri, A. (2010). Barrasie ravabete kootah modat va boland modat beyne tolide nakhalese dakheli, masrafe enerji va enteshare di okside karbon dar Iran [Study of short-run and long-run relationships between GDP, energy consumption and carbon dioxide emissions in Iran]. Quarterly Journal of Energy Economics, 7(27), 101-129.
]Search in Google Scholar
[
Noferesti, M. (1999). Rishe vahed va hamjam’i dar eghtesad [Unit root & cointegration in econometrics] (1st ed.). Tehran: Khadamate Farhangi Resa. (in Persian)
]Search in Google Scholar
[
Pahlavan, M., & Dahmardeh, N. (2007). Import and export demand functions estimated in the Iranian economy using ARDL convergence. Journal of Economic, 3, 110-120.
]Search in Google Scholar
[
Pesaran, M. H., & Shin, Y. (1996, March-April). Cointegration and speed of convergence to equilibrium. Journal of Econometrics, 71(1-2), 117-143. doi: 10.1016/0304-4076(94)01697-610.1016/0304-4076(94)01697-6
]Search in Google Scholar
[
Pesaran, M. H., & Shin, Y. (1998). Chapter 11 – An autoregressive distributed-lag modelling approach to cointegration analysis. In S. Strøm (Ed.), Econometrics and economic theory in the 20th Century (pp. 371-413). doi.: 10.1017/CCOL52163 3230.011
]Search in Google Scholar
[
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289-326. doi: 10.1002/jae.61610.1002/jae.616
]Search in Google Scholar
[
Pesaran, M. H., & Smith, R. P. (1998). Structural analysis of cointegrating VARs. Journal of Economic Surveys, 12(5), 471-505. doi: 10.1111/1467-6419.0006510.1111/1467-6419.00065
]Search in Google Scholar
[
Sadeghi, H., & Islami Ordoghly, M. (2011), Roshde eghtesadi va aloodegi mohite zist dar keshvarhaye ozve peymane Kyoto [Economic growth and environmental pollution in the Kyoto protocol parties]. Quarterly Journal of Energy Economics, 30(8), 1-32. (in Persian)
]Search in Google Scholar
[
Sadeghi, K., & Ebrahimi, S. (2013). Tasire tose’e mali, tolide nakhalese dakheli va masrafe enerji bar aloodegi mohite zist dar Iran (rahyafte ARDL) [The effect of financial development, GDP and energy consumption on environmental pollution in Iran (ARDL approach)]. Iranian Energy Economics (Environment and Energy), 7(2), 43-73. (in Persian)
]Search in Google Scholar
[
Soytas, U., & Sari, R. (2009). Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member. Ecological Economics, 68(6), 1667-1675. doi: 10.1016/j.ecolecon.2007.06.01410.1016/j.ecolecon.2007.06.014
]Search in Google Scholar
[
Soytas, U., Sari, R., & Ewing, B. T. (2007). Energy consumption, income, and carbon emissions in the United States. Ecological Economics, 62(3-4), 482-489. doi: 10.1016/j.ecolecon.2006.07.00910.1016/j.ecolecon.2006.07.009
]Search in Google Scholar
[
Tanaka, H., & Ishibuchi, H. (1992). Possibilistic regression analysis based on Linear Programming. In J. Kacprzyk, M. Fedrizzi (Eds.), Studies in Fuzziness. Fuzzy Regression Analysis (Vol. 1, pp. 47-60). Warsaw: Omnitech Press.
]Search in Google Scholar
[
Tanaka, H., Shimomura, T., Watada, J., & Asai, K. (1984). Fuzzy linear regression analysis of the number of staff in local government. FIP-84 at Kauai, Hawaii, 22-26.
]Search in Google Scholar
[
Tavanir. (s.a.). Retrieved from http://amar.tavanir.org.ir/
]Search in Google Scholar
[
Tseng, F. M., Tzeng, G. H., Yu, H. C., & Yuan, B. J. (2001, February). Fuzzy ARIMA model for forecasting the foreign exchange market. Fuzzy Sets and Systems, 118(1), 9-19. doi: 10.1016/S0165-0114(98)00286-310.1016/S0165-0114(98)00286-3
]Search in Google Scholar
[
Yen, K. K., Ghoshray, S., & Roig, G. (1999). A linear regression model using triangular fuzzy number coefficients. Fuzzy Sets and Systems, 106(2), 167-177. doi: 10.1016/S0165-0114(97)00269-810.1016/S0165-0114(97)00269-8
]Search in Google Scholar
[
Zadeh, L. A. (1965, June). Fuzzy sets. Information and Control, 8(3), 338-353. doi: 10.1016/S0019-9958(65)90241-X10.1016/S0019-9958(65)90241-X
]Search in Google Scholar
[
Zaranezhad, M., & Saadatmehr, M. (2007). Takhmineh taghaza barayeh goosht dar Iran [Estimate the demand for meat in Iran]. Journal of Humanities and Social Sciences (Particularly Economics), 7.1(26), 63-82. (in Persian)
]Search in Google Scholar
[
Zaranezhad, M., Ebrahimi, S., Raoofi, A., & Kiani, P. (2012). Pishbinie gheymate nafte khame OPEC ba estefadeh az modele khod regresioni miyangine motehareke anbashteye fazi [OPEC crude oil price forecast using the fuzzy stacked moving average recursive model]. Quarterly Journal of Energy Economics of Iran, 2(5), 107-207. (in Persian)
]Search in Google Scholar
[
Zimmermann, H. J. (1996). Fuzzy control. In H. J. Zimmerman, Fuzzy set theory – and its applications (pp. 223-264). Netherlands: Springer. doi: 10.1007/978-94-010-0646-010.1007/978-94-010-0646-0
]Search in Google Scholar
