How to cite this paper
Makui, A & Noushabadi, M. (2012). An empirical study for ranking insurance firms using a hybrid of data envelopment analysis and neural network.Management Science Letters , 2(8), 2923-2928.
Refrences
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Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Cooper, W. W., Seiford, L. M., & Zhu, J. (2004). Handbook on data envelopment analysis. Kluwer Academic, 2004.
Emrouznejad, A., & Shale, E. (2009). A combined neural network and DEA for measuring efficiency of large scale datasets. Computers & Industrial Engineering, 56(1), 249-254.
Ghasemi Mobtaker, H., Akram, A., Keyhani, A., & Mohammadi, A. (2012). Optimization of energy required for alfalfa production using data envelopment analysis approach. Energy for Sustainable Development, 16(1), 81-89.
Hagan, M.T., Demuth, H.B., & Beale, M.H. (2002). Neural Network Design. University of. Colorado Bookstore, Boulder, CO.
Mostafa, M.M. (2009). Modeling the efficiency of top Arab banks: A DEA–neural network approach. Expert Systems with Applications, 36(1), 309-320.
Rosenblatt, F. (1958). A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386-408.
Rumelhart, D.E., Hinton, G.E., Williams, R.J. (1986). Learning representations by back-propagating errors. Nature, 323, 533–536.
Sadjadi, S. J., Omrani, H., Makui, A., & Shahanaghi, K. (2011). An interactive robust dataenvelopmentanalysis model for determining alternative targets in Iranian electricity distribution companies. Expert Systems with Applications, 38(8), 9830–9839.
Sadjadi, S.J., Omrani, H., Abdollahzadeh, S., Alinaghian, M., & Mohammadi, H. (2011). A robust super-efficiency dataenvelopmentanalysis model for ranking of provincial gas companies in Iran. Expert Systems with Applications, 38(9), 10875–10881.
Samoilenko, S., & Osei-Bryson, K.M. (2010). Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks. European Journal of Operational Research, 206(2), 479-487.
Tsai, M.C., Lin, S.P., Cheng, C.C., & Lin, Y.P. (2009). The consumer loan default predicting model – An application of DEA–DA and neural network. Expert Systems with Applications, 36(9), 11682-11690.
Wang, C.H., Chuang, C.C., & Tsai, C.C. (2009). A fuzzy DEA–Neural approach to measuring design service performance in PCM projects. Automation in Construction, 18(5), 702-713.
Wu, D. (2009). Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36(5), 9105-9112.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Cooper, W. W., Seiford, L. M., & Zhu, J. (2004). Handbook on data envelopment analysis. Kluwer Academic, 2004.
Emrouznejad, A., & Shale, E. (2009). A combined neural network and DEA for measuring efficiency of large scale datasets. Computers & Industrial Engineering, 56(1), 249-254.
Ghasemi Mobtaker, H., Akram, A., Keyhani, A., & Mohammadi, A. (2012). Optimization of energy required for alfalfa production using data envelopment analysis approach. Energy for Sustainable Development, 16(1), 81-89.
Hagan, M.T., Demuth, H.B., & Beale, M.H. (2002). Neural Network Design. University of. Colorado Bookstore, Boulder, CO.
Mostafa, M.M. (2009). Modeling the efficiency of top Arab banks: A DEA–neural network approach. Expert Systems with Applications, 36(1), 309-320.
Rosenblatt, F. (1958). A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386-408.
Rumelhart, D.E., Hinton, G.E., Williams, R.J. (1986). Learning representations by back-propagating errors. Nature, 323, 533–536.
Sadjadi, S. J., Omrani, H., Makui, A., & Shahanaghi, K. (2011). An interactive robust dataenvelopmentanalysis model for determining alternative targets in Iranian electricity distribution companies. Expert Systems with Applications, 38(8), 9830–9839.
Sadjadi, S.J., Omrani, H., Abdollahzadeh, S., Alinaghian, M., & Mohammadi, H. (2011). A robust super-efficiency dataenvelopmentanalysis model for ranking of provincial gas companies in Iran. Expert Systems with Applications, 38(9), 10875–10881.
Samoilenko, S., & Osei-Bryson, K.M. (2010). Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks. European Journal of Operational Research, 206(2), 479-487.
Tsai, M.C., Lin, S.P., Cheng, C.C., & Lin, Y.P. (2009). The consumer loan default predicting model – An application of DEA–DA and neural network. Expert Systems with Applications, 36(9), 11682-11690.
Wang, C.H., Chuang, C.C., & Tsai, C.C. (2009). A fuzzy DEA–Neural approach to measuring design service performance in PCM projects. Automation in Construction, 18(5), 702-713.
Wu, D. (2009). Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36(5), 9105-9112.