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Volumn 6, Issue 5, 2014, Pages 2310-2321

A combined data envelopment analysis and support vector regression for efficiency evaluation of large decision making units

Author keywords

Data envelopment analysis; Decision making units; Neural networks; Support vector machines; Support vector regression

Indexed keywords


EID: 84920641542     PISSN: 23198613     EISSN: 09754024     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (25)
  • 1
    • 59049088887 scopus 로고    scopus 로고
    • A combined neural network and DEA for measuring efficiency of large scale datasets
    • Feb
    • A. Emrouznejad and E. Shale, "A combined neural network and DEA for measuring efficiency of large scale datasets," Computers & Industrial Engineering, vol. 56, no. 1, pp. 249-254, Feb. 2009.
    • (2009) Computers & Industrial Engineering , vol.56 , Issue.1 , pp. 249-254
    • Emrouznejad, A.1    Shale, E.2
  • 2
    • 84896710950 scopus 로고    scopus 로고
    • Evaluating branch efficiency of a Taiwanese bank using data envelopment analysis with an undesirable factor
    • K. Chang, C. Lin, Y. Cao, and C. Lu, "Evaluating branch efficiency of a Taiwanese bank using data envelopment analysis with an undesirable factor", African Journal of Business Management ,vol. 5, no. 8, pp. 3220-3228, 2011.
    • (2011) African Journal of Business Management , vol.5 , Issue.8 , pp. 3220-3228
    • Chang, K.1    Lin, C.2    Cao, Y.3    Lu, C.4
  • 3
    • 84863401520 scopus 로고    scopus 로고
    • Identifying managerial groups in a large Canadian bank branch network with a DEA approach
    • J. C. Paradi, H. Zhu, and B. Edelstein, "Identifying managerial groups in a large Canadian bank branch network with a DEA approach," European Journal of Operational Research, vol. 219, no. 1, pp. 178-187, 2012.
    • (2012) European Journal of Operational Research , vol.219 , Issue.1 , pp. 178-187
    • Paradi, J.C.1    Zhu, H.2    Edelstein, B.3
  • 4
    • 42949179073 scopus 로고    scopus 로고
    • Comparison on neural networks and support vector machines in suppliers' selection
    • Apr
    • H. Guosheng and Z. Guohong, "Comparison on neural networks and support vector machines in suppliers' selection," Journal of Systems Engineering and Electronics, vol. 19, no. 2. pp. 316-320, Apr-2008.
    • (2008) Journal of Systems Engineering and Electronics , vol.19 , Issue.2 , pp. 316-320
    • Guosheng, H.1    Guohong, Z.2
  • 6
    • 34548586929 scopus 로고    scopus 로고
    • Application of machine learning techniques for supply chain demand forecasting
    • Feb
    • R. Carbonneau, K. Laframboise, and R. Vahidov, "Application of machine learning techniques for supply chain demand forecasting," European Journal of Operational Research, vol. 184, no. 3, pp. 1140-1154, Feb. 2008.
    • (2008) European Journal of Operational Research , vol.184 , Issue.3 , pp. 1140-1154
    • Carbonneau, R.1    Laframboise, K.2    Vahidov, R.3
  • 7
    • 78049530035 scopus 로고    scopus 로고
    • A combined methodology for supplier selection and performance evaluation
    • Mar
    • M. Zeydan, C. Çolpan, and C. Çobanoglu, "A combined methodology for supplier selection and performance evaluation," Expert Systems with Applications, vol. 38, no. 3, pp. 2741-2751, Mar. 2011.
    • (2011) Expert Systems with Applications , vol.38 , Issue.3 , pp. 2741-2751
    • Zeydan, M.1    Çolpan, C.2    Çobanoglu, C.3
  • 8
    • 48749128392 scopus 로고    scopus 로고
    • An integrated neural network and data envelopment analysis for supplier evaluation under incomplete information
    • Nov
    • D. çelebi and D. Bayraktar, "An integrated neural network and data envelopment analysis for supplier evaluation under incomplete information," Expert Systems with Applications, vol. 35, no. 4, pp. 1698-1710, Nov. 2008.
    • (2008) Expert Systems with Applications , vol.35 , Issue.4 , pp. 1698-1710
    • Çelebi, D.1    Bayraktar, D.2
  • 10
    • 77958001182 scopus 로고    scopus 로고
    • The use of hybrid manifold learning and support vector machines in the prediction of business failure
    • F. Lin, C. Yeh, and M. Lee, "The use of hybrid manifold learning and support vector machines in the prediction of business failure," Knowledge-Based Systems, vol. 24, no. 1, pp. 95-101, 2011.
    • (2011) Knowledge-Based Systems , vol.24 , Issue.1 , pp. 95-101
    • Lin, F.1    Yeh, C.2    Lee, M.3
  • 11
    • 84863951424 scopus 로고    scopus 로고
    • Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
    • arXiv preprint arXiv
    • M. Lee and C. To, "Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress", arXiv preprint arXiv,vol. 1, no. 3, pp. 31-43, 2010.
    • (2010) , vol.1 , Issue.3 , pp. 31-43
    • Lee, M.1    To, C.2
  • 12
    • 84891776851 scopus 로고    scopus 로고
    • A Comparative Study of Supplier Selection Based on Support Vector Machine and RBF Neural Networks
    • Z. Kong and J. Xue, "A Comparative Study of Supplier Selection Based on Support Vector Machine and RBF Neural Networks," pp. 917-926, 2013.
    • (2013) , pp. 917-926
    • Kong, Z.1    Xue, J.2
  • 13
    • 71749091806 scopus 로고    scopus 로고
    • A hybrid approach of DEA, rough set and support vector machines for business failure prediction
    • C. Yeh, D. Chi, and M. Hsu, "A hybrid approach of DEA, rough set and support vector machines for business failure prediction," Expert Systems With Applications, vol. 37, no. 2, pp. 1535-1541, 2010.
    • (2010) Expert Systems With Applications , vol.37 , Issue.2 , pp. 1535-1541
    • Yeh, C.1    Chi, D.2    Hsu, M.3
  • 14
    • 84877604313 scopus 로고    scopus 로고
    • Supplier's Efficiency and Performance Evaluation using DEA-SVM Approach
    • Jan.
    • B. Jiang, W. Chen, H. Zhang, and W. Pan, "Supplier's Efficiency and Performance Evaluation using DEA-SVM Approach," Journal of Software, vol. 8, no. 1, pp. 25-30, Jan. 2013.
    • (2013) Journal of Software , vol.8 , Issue.1 , pp. 25-30
    • Jiang, B.1    Chen, W.2    Zhang, H.3    Pan, W.4
  • 16
    • 84892363051 scopus 로고    scopus 로고
    • Introduction to Data Envelopment Analysis and itsd used with DEA-Solver Software and Reference.
    • springer
    • K. Cooper, W. W., Seiford, L. M., and Tone, "Introduction to Data Envelopment Analysis and itsd used with DEA-Solver Software and Reference.",: springer, 2006.
    • (2006)
    • Cooper, K.1    Seiford, W.W.2    Tone, L.M.3
  • 17
    • 0003450542 scopus 로고
    • The Nature of Statistical Learning Theory
    • Springer-Verlag
    • V. Vapnik, "The Nature of Statistical Learning Theory,". Springer-Verlag., 1995.
    • (1995)
    • Vapnik, V.1
  • 18
    • 84870235699 scopus 로고    scopus 로고
    • Support vector machines combined with wavelet-based feature extraction for identification of drugs hidden in anthropomorphic phantom
    • Jan.
    • D. Qu, W. Li, Y. Zhang, B. Sun, Y. Zhong, J. Liu, D. Yu, and M. Li, "Support vector machines combined with wavelet-based feature extraction for identification of drugs hidden in anthropomorphic phantom," Measurement, vol. 46, no. 1, pp. 284-293, Jan. 2013.
    • (2013) Measurement , vol.46 , Issue.1 , pp. 284-293
    • Qu, D.1    Li, W.2    Zhang, Y.3    Sun, B.4    Zhong, Y.5    Liu, J.6    Yu, D.7    Li, M.8
  • 19
    • 84920666129 scopus 로고    scopus 로고
    • Online Support Vector Regression Online Support Vector Machines for Regression
    • no. June
    • F. Parrella, "Online Support Vector Regression Online Support Vector Machines for Regression," no. June, 2007.
    • (2007)
    • Parrella, F.1
  • 20
    • 68549107645 scopus 로고    scopus 로고
    • Forecasting respiratory motion with accurate online support vector regression (SVRpred)
    • F. Ernst and A. Schweikard, "Forecasting respiratory motion with accurate online support vector regression (SVRpred)," pp. 439- 447, 2009.
    • (2009) , pp. 439-447
    • Ernst, F.1    Schweikard, A.2
  • 24
    • 0346881149 scopus 로고    scopus 로고
    • Experimentally optimal n in support vector regression for different noise models and parameter settings
    • A. J. Smola, A. Chalimourda, and B. Scho, "Experimentally optimal n in support vector regression for different noise models and parameter settings," vol. 17, pp. 127-141, 2004.
    • (2004) , vol.17 , pp. 127-141
    • Smola, A.J.1    Chalimourda, A.2    Scho, B.3
  • 25
    • 0003710380 scopus 로고    scopus 로고
    • LIBSVM: A Library for Support Vector Machines
    • C. Chang and C. Lin, "LIBSVM: A Library for Support Vector Machines," pp. 1-39, 2012.
    • (2012) , pp. 1-39
    • Chang, C.1    Lin, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.