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Athanassopoulos, A. D., & Curram, S. P. (1996). A comparison of data envelopment analysis and artificial neural networks as tools for assessing the efficiency of decision making units. Journal of the Operational Research Society, 47(8), 1000–1016.
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Azadeh, A., Saberi, M., & Anvari, M. (2010). An integrated artificial neural network algorithm for performance assessment and optimization of decision making units. Expert Systems with Applications, 37(8), 5688–5697.
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Azadeh, A., Saberi, M., Anvari, M., & Izadbakhsh, H. R. (2009). A Meta heuristic approach for performance assessment of production units. Expert Systems with Applications, 36(3, Part 2), 6559–6569.
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Çelebi, D., & Bayraktar, D. (2008). An integrated neural network and data envelopment analysis for supplier evaluation under incomplete information. Expert Systems with Applications, 35(4), 1698–1710.
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Chang, H. - H., & Chen, Y. - K. (2011). Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments. Applied Soft Computing, 11(1), 436–442.
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Chang, P. - C., Lai, C. - Y., & Lai, K. R. (2006). A Hybrid System by Evolving Case-based Reasoning with Genetic Algorithm in Wholesaler’s Returning Book Forecasting. Decision Support Systems, 42(3), 1715–1729.
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Chauhan, N., Ravi, V., & Karthik Chandra, D. (2009). Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks. Expert Systems with Applications, 36(4), 7659–7665.
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Costa, Á., & Markellos, R. N. (1997). Evaluating public transport efficiency with neural network models. Transportation Research Part C, 5(5), 301–312.
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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.
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Gutiérrez, E., & Lozano, S. (2010). Data Envelopment Analysis of multiple response experiments. Applied Mathematical Modelling, 34(5), 1139–1148.
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