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Author (up) Azadeh, A.; Saberi, M.; Anvari, M. doi  openurl
  Title An integrated artificial neural network algorithm for performance assessment and optimization of decision making units Type Journal Article
  Year 2010 Publication Expert Systems with Applications Abbreviated Journal  
  Volume 37 Issue 8 Pages 5688-5697  
  Keywords Performance assessment; Neural network; Decision making units; Optimization  
  Abstract This study proposes a non-parametric efficiency frontier analysis method based on artificial neural network (ANN) for measuring efficiency as a complementary tool for the common techniques of the efficiency studies in the previous studies. The proposed ANN algorithm is able to find a stochastic frontier based on a set of input-output observational data and do not require explicit assumptions about the functional structure of the stochastic frontier. Furthermore, it uses a similar approach to econometric methods for calculating the efficiency scores. Moreover, the effect of the return to scale of decision making unit (DMU) on its efficiency is included and the unit used for the correction is selected based on its scale (under constant return to scale assumption). However, the proposed algorithm is capable of handling outliers and noise. This is shown by two examples related to outlier situations. It is also capable of performing optimization analysis and forecasting for a given set of data. The proposed approach is applied to a set of actual conventional power plants to show its applicability and superiority.  
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  Notes Approved no  
  Call Number Admin @ admin @ AzadehSaberiAnvari2010 Serial 4752  
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