메뉴 건너뛰기




Volumn 38, Issue 3, 2011, Pages 1364-1373

An integrated data envelopment analysis-artificial neural network-rough set algorithm for assessment of personnel efficiency

Author keywords

Artificial Neural Network (ANN); Cross Validation Test Technique (CVTT); Data Envelopment Analysis (DEA); Efficiency; Personnel; Rough Set Theory (RST)

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BANKING SYSTEMS; CROSS-VALIDATION TESTS; DATA ENVELOPMENT; DATA SETS; DESIGN WORK; INTEGRATED ALGORITHM; INTEGRATED APPROACH; INTEGRATED DATA; MINIMUM SUBSETS; MULTIPLE INPUTS AND OUTPUTS; ROUGH SET; TOTAL EFFICIENCY;

EID: 78049530902     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.07.033     Document Type: Article
Times cited : (62)

References (56)
  • 1
    • 0000485788 scopus 로고    scopus 로고
    • Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches
    • A.D. Athanassopoulos Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches European Journal of Operational Research 98 1997 300 313
    • (1997) European Journal of Operational Research , vol.98 , pp. 300-313
    • Athanassopoulos, A.D.1
  • 2
    • 0030216682 scopus 로고    scopus 로고
    • A comparison of data envelopment analysis and artificial neural networks as tool for assessing the efficiency of decision making units
    • A.D. Athanassopoulos, and S.P. Curram A comparison of data envelopment analysis and artificial neural networks as tool for assessing the efficiency of decision making units Journal of the Operational Research Society 47 1996 1000 1016
    • (1996) Journal of the Operational Research Society , vol.47 , pp. 1000-1016
    • Athanassopoulos, A.D.1    Curram, S.P.2
  • 3
    • 34147213576 scopus 로고    scopus 로고
    • An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors
    • A. Azadeh, M.S. Amalnick, S.F. Ghaderi, and S.M. Asadzadeh An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors Energy Policy 35 2007 3792 3806
    • (2007) Energy Policy , vol.35 , pp. 3792-3806
    • Azadeh, A.1    Amalnick, M.S.2    Ghaderi, S.F.3    Asadzadeh, S.M.4
  • 4
    • 78049494292 scopus 로고    scopus 로고
    • An intelligent algorithm for performance assessment of non-homogeneous decision making units
    • Berkley, USA
    • Azadeh, A.; Anvari, M.; & Saberi, M. (2007). An intelligent algorithm for performance assessment of non-homogeneous decision making units. In Ninth US national congress on computational mechanics, Berkley, USA.
    • (2007) Ninth US National Congress on Computational Mechanics
    • Azadeh, A.1    Anvari, M.2    Saberi, M.3
  • 5
    • 78049526869 scopus 로고    scopus 로고
    • An integrated ANN fuzzy C-means normalization algorithm for performance assessment of decision making units
    • Azadeh, A.; Anvari, M.; & Saberi, M. (2008). An integrated ANN fuzzy C-means normalization algorithm for performance assessment of decision making units. Technical Report, University of Tehran, Iran.
    • (2008) Technical Report, University of Tehran, Iran
    • Azadeh, A.1    Anvari, M.2    Saberi, M.3
  • 8
    • 34047141035 scopus 로고    scopus 로고
    • Performance assessment of electric power generations using an adaptive neural network algorithm
    • A. Azadeh, S.F. Ghaderi, M. Anvari, and M. Saberi Performance assessment of electric power generations using an adaptive neural network algorithm Energy Policy 35 2007 3155 3166
    • (2007) Energy Policy , vol.35 , pp. 3155-3166
    • Azadeh, A.1    Ghaderi, S.F.2    Anvari, M.3    Saberi, M.4
  • 9
    • 34247465971 scopus 로고    scopus 로고
    • An integrated artificial neural network and fuzzy clustering algorithm for performance assessment of decision making units
    • A. Azadeh, S.F. Ghaderi, M. Anvari, M. Saberi, and H. Izadbakhsh An integrated artificial neural network and fuzzy clustering algorithm for performance assessment of decision making units Applied Mathematics and Computation 187 2007 584 599
    • (2007) Applied Mathematics and Computation , vol.187 , pp. 584-599
    • Azadeh, A.1    Ghaderi, S.F.2    Anvari, M.3    Saberi, M.4    Izadbakhsh, H.5
  • 10
    • 37349001949 scopus 로고    scopus 로고
    • Integration of DEA and AHP with computer simulation for railway system improvement and optimization
    • A. Azadeh, S.F. Ghaderi, and H. Izadbakhsh Integration of DEA and AHP with computer simulation for railway system improvement and optimization Applied Mathematics and Computation 195 2007 775 785
    • (2007) Applied Mathematics and Computation , vol.195 , pp. 775-785
    • Azadeh, A.1    Ghaderi, S.F.2    Izadbakhsh, H.3
  • 11
    • 33947661488 scopus 로고    scopus 로고
    • Forecasting electrical consumption by integration of neural network, time series and ANOVA
    • A. Azadeh, S.F. Ghaderi, and S. Sohrabkhani Forecasting electrical consumption by integration of neural network, time series and ANOVA Applied Mathematics and Computation 186 2007 1753 1761
    • (2007) Applied Mathematics and Computation , vol.186 , pp. 1753-1761
    • Azadeh, A.1    Ghaderi, S.F.2    Sohrabkhani, S.3
  • 12
    • 50249109097 scopus 로고    scopus 로고
    • Integration of artificial neural networks and GA to predict electrical energy consumption
    • G. A Capolino, & L. G. Franquelo (Eds.) Conservatoire National des Arts and Metiers, Paris, France
    • Azadeh, A.; Ghaderi, S. F.; Tarverdian, S.; & Saberi, M. (2006). Integration of artificial neural networks and GA to predict electrical energy consumption. In G. A Capolino, & L. G. Franquelo (Eds.), Proceedings of the 32nd annual conference of the IEEE industrial electronics society-IECON'06, Conservatoire National des Arts and Metiers, Paris, France.
    • (2006) Proceedings of the 32nd Annual Conference of the IEEE Industrial Electronics society-IECON'06
    • Azadeh, A.1    Ghaderi, S.F.2    Tarverdian, S.3    Saberi, M.4
  • 13
    • 34047099220 scopus 로고    scopus 로고
    • Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption
    • A. Azadeh, S.F. Ghaderi, S. Tarverdian, and M. Saberi Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption Applied Mathematics and Computation 186 2007 1731 1741
    • (2007) Applied Mathematics and Computation , vol.186 , pp. 1731-1741
    • Azadeh, A.1    Ghaderi, S.F.2    Tarverdian, S.3    Saberi, M.4
  • 14
    • 0021497874 scopus 로고
    • Some models for estimating technical and scale inefficiencies in DEA
    • R.D. Banker, A. Charnes, and W.W. Cooper Some models for estimating technical and scale inefficiencies in DEA Management Science 32 1984 1078 1092
    • (1984) Management Science , vol.32 , pp. 1078-1092
    • Banker, R.D.1    Charnes, A.2    Cooper, W.W.3
  • 15
    • 44949289174 scopus 로고
    • Recent developments in the econometric estimation of frontiers
    • P.W. Bauer Recent developments in the econometric estimation of frontiers Journal of Econometrics 46 1990 39 56
    • (1990) Journal of Econometrics , vol.46 , pp. 39-56
    • Bauer, P.W.1
  • 17
    • 44949278174 scopus 로고
    • The dominance of inefficiencies over scale and product mix economies in banking
    • A.N. Berger, and D.B. Humphrey The dominance of inefficiencies over scale and product mix economies in banking Journal of Monetary Economics 28 1991 117 148
    • (1991) Journal of Monetary Economics , vol.28 , pp. 117-148
    • Berger, A.N.1    Humphrey, D.B.2
  • 18
    • 0043234660 scopus 로고    scopus 로고
    • Variable precision rough set theory and data discretion: An application to corporate failure prediction
    • M.J. Beynon, and M.J. Peel Variable precision rough set theory and data discretion: An application to corporate failure prediction Omega 29 2001 561 576
    • (2001) Omega , vol.29 , pp. 561-576
    • Beynon, M.J.1    Peel, M.J.2
  • 19
    • 33947647535 scopus 로고    scopus 로고
    • Multi-criteria classification-A new scheme for application of dominance-based decision rules
    • J. Błaszczyński, S. Greco, and R. Słowiński Multi-criteria classification-A new scheme for application of dominance-based decision rules European Journal of Operational Research 181 2007 1030 1044
    • (2007) European Journal of Operational Research , vol.181 , pp. 1030-1044
    • Błaszczyński, J.1    Greco, S.2    Słowiński, R.3
  • 22
    • 84972539015 scopus 로고
    • Neural networks: A review from a statistical perspective
    • B. Cheng, and D.M. Titterington Neural networks: A review from a statistical perspective Statistical Science 9 1994 2 54
    • (1994) Statistical Science , vol.9 , pp. 2-54
    • Cheng, B.1    Titterington, D.M.2
  • 23
    • 33846449866 scopus 로고    scopus 로고
    • Extracting drug utilization knowledge using self-organizing map and rough set theory
    • H.C. Chou, C.H. Cheng, and J.R. Chang Extracting drug utilization knowledge using self-organizing map and rough set theory Expert Systems with Applications 33 2007 499 508
    • (2007) Expert Systems with Applications , vol.33 , pp. 499-508
    • Chou, H.C.1    Cheng, C.H.2    Chang, J.R.3
  • 24
    • 0031284303 scopus 로고    scopus 로고
    • Evaluating public transport efficiency with neural network models
    • A. Costa, and R.N. Markellos Evaluating public transport efficiency with neural network models Transportation Research C 5 1997 301 312
    • (1997) Transportation Research C , vol.5 , pp. 301-312
    • Costa, A.1    Markellos, R.N.2
  • 25
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • G. Cybenko Approximation by superpositions of a sigmoidal function Mathematics of Control, Signals and Systems 2 1989 303 314
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 27
    • 33845214650 scopus 로고    scopus 로고
    • Fuzzy rough sets hybrid scheme for breast cancer detection
    • 183
    • A. Hassanien Fuzzy rough sets hybrid scheme for breast cancer detection Image and Vision Computing 25 2007 172 183
    • (2007) Image and Vision Computing , vol.25 , pp. 172
    • Hassanien, A.1
  • 29
  • 33
    • 33745685483 scopus 로고    scopus 로고
    • Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems
    • M. Liu, D. Chen, C. Wu, and H. Li Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems Computers and Mathematics with Applications 51 2006 1571 1584
    • (2006) Computers and Mathematics with Applications , vol.51 , pp. 1571-1584
    • Liu, M.1    Chen, D.2    Wu, C.3    Li, H.4
  • 35
    • 84990585716 scopus 로고
    • Two-group classification using neural networks
    • E. Patuwo, M.Y. Hu, and M.S. Hung Two-group classification using neural networks Decision Sciences 24 1993 825 845
    • (1993) Decision Sciences , vol.24 , pp. 825-845
    • Patuwo, E.1    Hu, M.Y.2    Hung, M.S.3
  • 38
    • 0037911566 scopus 로고    scopus 로고
    • Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption
    • P.C. Pendharkar, and J.A. Rodger Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption Decision Support Systems 36 2003 117 136
    • (2003) Decision Support Systems , vol.36 , pp. 117-136
    • Pendharkar, P.C.1    Rodger, J.A.2
  • 39
    • 33846314346 scopus 로고    scopus 로고
    • Bankruptcy prediction in banks and firms via statistical and intelligent techniques-A review
    • P. Ravi Kumar, and V. Ravi Bankruptcy prediction in banks and firms via statistical and intelligent techniques-A review European Journal of Operational Research 180 2007 1 28
    • (2007) European Journal of Operational Research , vol.180 , pp. 1-28
    • Ravi Kumar, P.1    Ravi, V.2
  • 41
    • 33947704790 scopus 로고    scopus 로고
    • Rough Sets and the role of the monetary policy in financial stability (macroeconomic problem) and the prediction of insolvency in insurance sector (microeconomic problem)
    • A. Sanchis, M.J. Segovia, J.A. Gil, A. Heras, and J.L. Vilar Rough Sets and the role of the monetary policy in financial stability (macroeconomic problem) and the prediction of insolvency in insurance sector (microeconomic problem) European Journal of Operational Research 181 2007 1554 1573
    • (2007) European Journal of Operational Research , vol.181 , pp. 1554-1573
    • Sanchis, A.1    Segovia, M.J.2    Gil, J.A.3    Heras, A.4    Vilar, J.L.5
  • 42
    • 25744480363 scopus 로고    scopus 로고
    • Artificial neural networks for measuring technical efficiency in schools with a two-level model: An alternative approach
    • Oviedo
    • Santin, D.; & Valino, A. (2000). Artificial neural networks for measuring technical efficiency in schools with a two-level model: An alternative approach. In II Oviedo workshop on efficiency and productivity, Oviedo.
    • (2000) II Oviedo Workshop on Efficiency and Productivity
    • Santin, D.1    Valino, A.2
  • 43
    • 2042433669 scopus 로고    scopus 로고
    • The measurement of technical efficiency: A neural network approach
    • D. Santin, F.J. Delgado, and A. Valino The measurement of technical efficiency: A neural network approach Applied Economics 36 2004 627 635
    • (2004) Applied Economics , vol.36 , pp. 627-635
    • Santin, D.1    Delgado, F.J.2    Valino, A.3
  • 45
    • 33748195464 scopus 로고    scopus 로고
    • Rough Set Theory in analyzing the attributes of combination values for the insurance market
    • J.Y. Shyng, F.K. Wang, G.H. Tzeng, and K.S. Wu Rough Set Theory in analyzing the attributes of combination values for the insurance market Expert Systems with Applications 32 2007 56 64
    • (2007) Expert Systems with Applications , vol.32 , pp. 56-64
    • Shyng, J.Y.1    Wang, F.K.2    Tzeng, G.H.3    Wu, K.S.4
  • 46
    • 33750492251 scopus 로고    scopus 로고
    • Managing uncertainty in location services using rough set and evidence theory
    • I.U. Sikder, and A. Gangopadhyay Managing uncertainty in location services using rough set and evidence theory Expert Systems with Applications 32 2007 386 396
    • (2007) Expert Systems with Applications , vol.32 , pp. 386-396
    • Sikder, I.U.1    Gangopadhyay, A.2
  • 47
    • 0033362990 scopus 로고    scopus 로고
    • Operations, quality and profitability in the provision of banking services
    • A. Soteriou, and S.A. Zenios Operations, quality and profitability in the provision of banking services Management Science 45 1999 1221 1238
    • (1999) Management Science , vol.45 , pp. 1221-1238
    • Soteriou, A.1    Zenios, S.A.2
  • 48
    • 0001004104 scopus 로고    scopus 로고
    • Rough sets as a tool for studying attribute dependencies in the urinary stones treatment data set
    • Stefanowski, J.; & Slowinski, K. (1997). Rough sets as a tool for studying attribute dependencies in the urinary stones treatment data set. In Rough sets and data mining: analysis and imprecise data (pp. 177-196).
    • (1997) Rough Sets and Data Mining: Analysis and Imprecise Data , pp. 177-196
    • Stefanowski, J.1    Slowinski, K.2
  • 50
    • 33748894346 scopus 로고    scopus 로고
    • Rough set-based approach to feature selection in customer relationship management
    • T.L.B. Tseng, and C.H. Huang Rough set-based approach to feature selection in customer relationship management Omega 35 2007 365 383
    • (2007) Omega , vol.35 , pp. 365-383
    • Tseng, T.L.B.1    Huang, C.H.2
  • 51
    • 80053315445 scopus 로고    scopus 로고
    • Extraction of experts' decision process from clinical databases using rough set model
    • Trondheim, Norway
    • Tsumoto, S. (1997). Extraction of experts' decision process from clinical databases using rough set model. In Proceedings of the 1st European Symposium PKDD '97, Trondheim, Norway (pp. 58-67).
    • (1997) Proceedings of the 1st European Symposium PKDD , vol.97 , pp. 58-67
    • Tsumoto, S.1
  • 52
    • 33746881122 scopus 로고    scopus 로고
    • Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma
    • X. Wang, J. Yang, R. Jensen, and X. Liu Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma Computer Methods and Programs in Biomedicine 83 2006 147 156
    • (2006) Computer Methods and Programs in Biomedicine , vol.83 , pp. 147-156
    • Wang, X.1    Yang, J.2    Jensen, R.3    Liu, X.4
  • 53
    • 33644770285 scopus 로고    scopus 로고
    • Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank
    • D. Wu, Z. Yang, and L. Liang Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank Expert Systems with Applications 31 2006 108 115
    • (2006) Expert Systems with Applications , vol.31 , pp. 108-115
    • Wu, D.1    Yang, Z.2    Liang, L.3
  • 54
    • 33751509315 scopus 로고    scopus 로고
    • Supplier selection with multiple criteria in volume discount environments
    • DOI 10.1016/j.omega.2005.09.002, PII S0305048305001180
    • W. Xia, and Z. Wu Supplier selection with multiple criteria in volume discount environments Omega 35 2007 494 504 (Pubitemid 44835388)
    • (2007) Omega , vol.35 , Issue.5 , pp. 494-504
    • Xia, W.1    Wu, Z.2
  • 55
    • 0036713519 scopus 로고    scopus 로고
    • Feature extraction using rough set theory and genetic algorithms-An application for the simplification of product quality evaluation
    • L.Y. Zhai, L.P. Khoo, and S.C. Fok Feature extraction using rough set theory and genetic algorithms-An application for the simplification of product quality evaluation Computers and Industrial Engineering 43 2002 661 676
    • (2002) Computers and Industrial Engineering , vol.43 , pp. 661-676
    • Zhai, L.Y.1    Khoo, L.P.2    Fok, S.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.