In this paper, we develop CCR-(?-SVR) and CCR-(?-SVR) models based on modified parameters for efficiency prediction of large DMUs to improve the accuracy and reduce the computation time using three normalization functions. CCR-(?-SVR) and CCR-(?-SVR) are evaluated using large datasets over the three normalization functions. The experimental results of comparisons between CCR-(?-SVR) and CCR-(?-SVR) demonstrate that the proposed models can significantly improve the accuracy and reduce the computation time in predicting the efficiency of large DMUs.
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Author Name: Mohammadreza Farahmand, Mohammad Ishak Desa, Mehrbakhsh Nilashi
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Keywords: Data Envelopment Analysis, Support Vector Regression, Large Decision Making Units, Normalization function
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EISSN: 2289-8603
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