How to cite this paper
Abolfathi, E., Abolfathi, M & Sharifi, S. (2014). Measuring the relative efficiency of firms listed on Tehran Stock Exchange.Management Science Letters , 4(7), 1375-1380.
Refrences
Abolfathi, E. (2013). Analyzing financial statements of listed companies in Tehran Stock Exchange with a hybrid model of data envelopment analysis (DEA) and artificial neural network (ANN). Master Thesis in industrial management, Islamic Azad University, Science and Research Branch, Faculty of Management and Economy, Tehran, Iran
Banker, R. D. (1996). Hypothesis tests using data envelopment analysis. Journal of productivity analysis, 7(2-3), 139-159.
Begum, I. A., Alam, M. J., Buysse, J., Frija, A., & Van Huylenbroeck, G. (2012). Contract farmer and poultry farm efficiency in Bangladesh: a data envelopment analysis. Applied Economics, 44(28), 3737-3747.
Bojnec, ?., & Latruffe, L. (2008). Measures of farm business efficiency. Industrial Management & Data Systems, 108(2), 258-270.
Estelle, S. M., Johnson, A. L., & Ruggiero, J. (2010). Three-stage DEA models for incorporating exogenous inputs. Computers & Operations Research, 37(6), 1087-1090.
Hamidi Zadeh, M.R., Abolfathi, E., & Abolfathi, M. (2014). Analyzing financial statements of listed companies in Tehran Stock Exchange with a hybrid model of data envelopment analysis (DEA) and artificial neural network (ANN). Indian Journal of Scientific Research, 3(4).
Liu, H. H., Chen, T. Y., Chiu, Y. H., & Kuo, F. H. (2013). A Comparison of Three-Stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-Conductor Firms in Taiwan. Modern Economy, 4, 20-31.
Liu, P. (2008). DEA Malmquist productivity measure: Taiwanese semi-conductor companies. International Journal of Production Economics, 112, 367-376
Malinov, S., Sha, W., & McKeown, J. J. (2001). Modelling the correlation between processing parameters and properties in titanium alloys using artificial neural network. Computational Materials Science, 21(3), 375-394.
Rahimi, I., & Behmanesh, R. (2012). Improve poultry farm efficiency in Iran: using combination neural networks, decision trees, and data envelopment analysis (DEA). International Journal of Applied Operational Research, 2(3), 69-84.
Sivatha Sindhu, S. S., Geetha, S., & Kannan, A. (2012). Decision tree based light weight intrusion detection using a wrapper approach. Expert Systems with applications, 39(1), 129-141. 1
Tarawneh, M. (2006). A comparison of financial performance in the banking sector: Some evidence from Omani commercial banks. International Research Journal of Finance and Economics, 3, 101-112.
Tsai, C. F., & Chiou, Y. J. (2009). Earnings management prediction: A pilot study of combining neural networks and decision trees. Expert Systems with Applications, 36(3), 7183-7191.
Banker, R. D. (1996). Hypothesis tests using data envelopment analysis. Journal of productivity analysis, 7(2-3), 139-159.
Begum, I. A., Alam, M. J., Buysse, J., Frija, A., & Van Huylenbroeck, G. (2012). Contract farmer and poultry farm efficiency in Bangladesh: a data envelopment analysis. Applied Economics, 44(28), 3737-3747.
Bojnec, ?., & Latruffe, L. (2008). Measures of farm business efficiency. Industrial Management & Data Systems, 108(2), 258-270.
Estelle, S. M., Johnson, A. L., & Ruggiero, J. (2010). Three-stage DEA models for incorporating exogenous inputs. Computers & Operations Research, 37(6), 1087-1090.
Hamidi Zadeh, M.R., Abolfathi, E., & Abolfathi, M. (2014). Analyzing financial statements of listed companies in Tehran Stock Exchange with a hybrid model of data envelopment analysis (DEA) and artificial neural network (ANN). Indian Journal of Scientific Research, 3(4).
Liu, H. H., Chen, T. Y., Chiu, Y. H., & Kuo, F. H. (2013). A Comparison of Three-Stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-Conductor Firms in Taiwan. Modern Economy, 4, 20-31.
Liu, P. (2008). DEA Malmquist productivity measure: Taiwanese semi-conductor companies. International Journal of Production Economics, 112, 367-376
Malinov, S., Sha, W., & McKeown, J. J. (2001). Modelling the correlation between processing parameters and properties in titanium alloys using artificial neural network. Computational Materials Science, 21(3), 375-394.
Rahimi, I., & Behmanesh, R. (2012). Improve poultry farm efficiency in Iran: using combination neural networks, decision trees, and data envelopment analysis (DEA). International Journal of Applied Operational Research, 2(3), 69-84.
Sivatha Sindhu, S. S., Geetha, S., & Kannan, A. (2012). Decision tree based light weight intrusion detection using a wrapper approach. Expert Systems with applications, 39(1), 129-141. 1
Tarawneh, M. (2006). A comparison of financial performance in the banking sector: Some evidence from Omani commercial banks. International Research Journal of Finance and Economics, 3, 101-112.
Tsai, C. F., & Chiou, Y. J. (2009). Earnings management prediction: A pilot study of combining neural networks and decision trees. Expert Systems with Applications, 36(3), 7183-7191.