Doç. Dr. H. Hasan ÖRKCÜ

Fen Fakültesi > İstatistik

ATIFLAR
(Uptaded: 18.04.2017)
 
h index=6  Scopus (exclude self citations)
                       16 articles / 153 cites
h index=6  Web of Science (exclude self citations)
                       14 articles / 112 cites
 
Scopus 

 

Web of Science

 

 

Bazı Atıflar

Atıf Yapılan Çalışma:

Örkcü, H.H., Aksoy, E., Dogan, M.I., “Estimating the parameters of 3-p parameter Weibull distribution through differential evolution”, Applied Mathematics and Computation, 251, 211-224, 2015. (SCI).

 

Yapılan Atıflar

F.1. Sacco, W.F.,  Henderson, N, Balancing exploration and exploitation in differential evolution via variable scaling factors: An application to practical problems, Progress in Nuclear Energy, 83, 365-373, 2015 (SCI).

 

Atıf Yapılan Çalışma:

Örkcü, H.H., "Subset selection in multiple linear regression models: A hybrid of genetic and simulated annealing algorithms", Applied Mathematics and Computation, 219 (23),  11018-11028, 2013.  (SCI)

 

Yapılan Atıflar

F.2. Xiaoyuan, W., Jinglei, Z., Xiagang, B., “Dynamic Feature Extraction Method of Driver’s Propensity under Complicated Vehicle Group, Advances in Mechanical Engineering, 287653, 2013 (SCI).

 

F.3. Yanhui, L., Hao, G., Wang, L., “A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment, Scientific World Journal, 125893, 2013 (SCI).

 

F.4. Brusco, M.J., “A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis“, Computational Statistics and Data Analysis, 77, 38-53, 2014 (SCI).

 

F.5. Creel, M., Kristensen, D., “On selection of statistics for approximate Bayesian computing (or the method of simulated moments) “, Computational Statistics and Data Analysis, ****, 2015 (SCI).

 

Atıf Yapılan Çalışma:

Örkcü, H.H., Bal, H. "Goal programming approaches for data envelopment analysis cross efficiency evaluation", Applied Mathematics and Computation, 218 (2),  346-356, 2011.  (SCI)

 

Yapılan Atıflar

F.6. Wu, J., Sun, J., Liang, L., “Cross efficiency evaluation method based on weight-balanced data envelopment analysis model, Computers and Industrial Engineering, 63, 513–519, 2012 (SCI).

 

F.7. Lotfi, F.H., Jahanshahloo, G.R., Khodabakshi, M., “A review of ranking models in data envelopment analysis”, Journal of Applied Mathematics, 492421, 2013 (SCI).

 

F.8. Yang, A. Zhang, Z. Zhang,Y. Chen, D., “Gap minimization for peer-evaluation in DEA cross efficiency”, Journal of Applied Mathematics, 453749, 2014 (SCI).

 

F.9. Zanboori, E., Rostamy-Malkhalifeh, M., Jahanshahloo, G.R., Shoja, N., “Calculating Super Efficiency of DMUs for Ranking Units in Data Envelopment Analysis Based on SBM Model”, The Scientific Journal, 382390, 2014 (SCI).

 

F.10. Gavgani, S.S.Zohrehbandian, M., “A Cross-Efficiency Based Ranking Method for Finding the Most Efficient DMU”, Mathematical Problems in Engineering, 269768, 2014 (SCI).

 

F.11. Chaogun, M., Debin, L., Zhangbao, Z., “Game Cross Efficiency for Systems with Two-Stage Structures”, Journal of Applied Mathematics, 747596, 2014 (SCI).

 

F.12. Oukil, A.,  Amin, G.R., “Maximum appreciative cross-efficiency in DEA: A new ranking method”, Computers and Industrial Engineering, 81, 14–21, 2015 (SCI).

 

F.13. Sun, S.L., Meng, X.L., Run, T., Input and Output Neutral DEA Models for Cross Efficiency Evaluation, International Conference on Advanced Education and Management (ICAEM 2015), page 723–728, May 15-16, 2015 (SCI).

 

F.14. Dariush, A., Ranking all DEA-efficient DMUs based on cross efficiency and Analytic Hierarchy Process Methods, Journal of Optimization, UNSP594727, 2015 (SCI).

 

Atıf Yapılan Çalışma:

Örkcü, H.H., Bal, H., “Comparing Performances Backpropagation and Genetic Algorithms in the Data Classification”, Expert Systems with Applications, 38 (4),  3703-3709, 2011. (SCI)

 

Yapılan Atıflar

F.15. Doinea, M.  “Adaptive Model for Authentication Optimization Process”, Economy Informatics, 11 (1), 152-162, 2011.

 

F.16. Provorovs, S., Borisov, A. “Use of Linear Genetic Programming and Artificial Neural Network Methods to Solve Classification Task, Scientific Journal of Riga Technical University, 45, 133-138, 2011.

 

F.17. Van Tonder, B.P., Wesson, J.L., “Improving the controllability of tilt interaction for mobile map-based applications”, Int. J. Human-Computer Studies, 70, 920-935, 2012 (SCI).  

 

F.18. Mandal, I., Sairam, N. “Accurate Prediction of Coronary Artery Disease Using Reliable Diagnosis System”, J. Med. Syst., 38 (5), 3353-3373, 2012 (SCI).

 

F.19. Lee, H., Yu, J., Jeong, Y., “Genetic based feed-forward neural network training for chaff cluster detection”, International Conference on Fuzzy Theory and Its Application (IFUZZY 2012), 215-219, 2012 (SCI).

 

F.20. Alwan, H.B., Ku-Muhamud, K.R., “Optimizing Support Vector Machine Parameters Using Continious Ant Colony Optimization”, 7TH International Conference on Computing and Convergence Technology (ICCCT 2012), 164-169, 2012 (SCI).

 

F.21. Rezakazemi, M., Mohammadi, T., “Gas sorption in H-2 selective mixed matrix membranes: experimental and neural modelling”, International Journal of Hydrogen Energy, 38 (32), 14035–14041, 2013 (SCI).

 

F.22. Hao, L., Nantasenamat, C., Monnor, T., “Genetic algorithm search space splicing particle swarm optimization as a general-purpose optimizer”, Chemometrics and Intelligent Laboratory Systems, 128, 153–159, 2013 (SCI).

 

F.23. Benyelloul, K., Aourag, H., “Bulk modulus prediction of austenitic stainless steel using a hybrid GA-ANN as a data mining tools”, Computational Materials Science, 77, 330–334, 2013 (SCI).

 

F.24. Fan, L., Liu, Y., “Automate fry counting using computer vision and multi-class least squares support vector machine”, Aquaculture, 380, 91–98, 2013 (SCI).

 

F.25. Rostamizadeh, M., Rezakazemi, M.,  Shahidi, K., Mohammadi, T., “Gas permeation through H2-selective mixed matrix membranes: Experimental and neural network modeling”, International Journal of Hydrogen Energy, 38, 112-135, 2013 (SCI).

 

F.26. Yang, Y.S., Shih, C.Y., Chien, H.Y., “The combined multi-objective optimization design for a light guide rod”, International Conference on Manufacturing, Optimization, Industrial and Material Engineering (MOIME 2013), 46, UNSP012033, 2013 (SCI).

 

F.27. Rong, W., Nie, Y., Ouyang, Y., Peng, B., Xiong, Z.,  “Auto-encoder based bagging architecture for sentiment analysis”, Journal of Visual Languages and Computing, 25, 840–849, 2014.

 

F.28. Seera, M., Lim, C.P., “A hybrid intelligent systems for medical data classification”, Expert Sytems with Applications, 41 (5), 2239–2249, 2014 (SCI).

 

F.29. Seera, M., Lim, C.P., Tan, S.C., Loo, C.K., A hybrid FAM–CART model and its application to medical data classification, Neural Comput & Applic, (2015) 26:1799–1811 (SCI).

 

F.30. Purwar, A., Singh,S.K., “Hybrid prediction model with missing value imputation for medical data”, Expert Systems with Applications, 42, 5621–5631, 2015 (SCI).

 

F.31. Bhardwaj, A., Tiwari, A., “Breast cancer diagnosis using Genetically Optimized Neural Network model”, Expert Systems with Applications, 42, 4611–4620, 2015 (SCI).

 

F.32. Seera, M., Lim, C.P., Liew, W.S., Lim, E., Loo, C.K., “Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models”, Expert Systems with Applications, 42, 3643–3652, 2015 (SCI).

 

F.33. Balaga, H., Gupta, N., Vishwakarma, D.N., “GA trained parallel hidden layered ANN based differential protection of three phase power transformer”, Electrical Power and Energy Systems, 67, 286–297, 2015 (SCI).

 

F.34. Nopiah, Z.M., Junoh, A.K. Ariffin, A.K., Vehicle interior noise and vibration level assessment through the data clustering and hybrid classification model, Applied Acoustics, 87 (2015) 9–22 (SCI).

 

F.35. Aftab, M.S., Shafiq, M., Neural networks for tracking of unknown SISO discrete-time nonlinear dynamic systems, ISA Transactions, 59 (2015) 363–374 (SCI).

 

F.36. Pessoa, C.M., Ranzan, C., Trierweiler, L.F., Trierweiler, J.O., “Development of Ant Colony Optimization (ACO) Algorithms Based on Statistical Analysis and Hypothesis Testing for Variable Selection”, IFAC Papers Online, 48(8), (2015), 900–905 (SCI).

 

F.36. Choubey, D.KM., Paul, S., “ GA_J48graft DT: A Hybrid Intelligent System for Diabetes Disease Diagnosis”, International Journal of Bio-Science and Bio-Technology, 7(5), 135-150 (2015).

 

F.37. Pourpanaha, F., Lim, C.P., Saleh, J.M., A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction, Expert Systems with Applications, ****

 

Atıf Yapılan Çalışma:

Bal, H., Örkcü, H.H., “A New Mathematical Programming Approach to Multi-Group Classification Problems”, Computers and Operations Research, 38 (1), 105-111, 2011. (SCI)

 

Yapılan Atıflar

F.38. Wu, J., An, Q., Liang, L., “A modified super efficiency DEA approach for solving multi-groups classification problems”, International Journal of Computational Intelligence Systems, 4 (4), 606-618, 2011 (SCI).

 

F.39. Pai, D.,  Lawrence, K.D., Klimberg, R.K. Lawrence, S.M., “Analyzing the balancing of error rates for multi-group classification”, Expert Systems with Applications, 39, 12869–12875, 2012 (SCI).

 

F.40. Corne, D., Dhaenens, C., Jourdan, L., “Synergies between operations research and data mining: The emerging use of multi-objective approaches”, European Journal of Operational Research, 221, 469–479, 2012 (SCI).

 

F.41. Maskooki, A., “Improving the efficiency of a mixed integer linear programming based approach for multi-class classification problem”, Computers and Industrial Engineering, 66 (2), 383–388, 2013 (SCI).

 

F.42. Yang, L., Liu, S., Tsoka, S., Papageorgiou, L.G., “Sample re-weighting hyper box classifier for multi-class data classification”, Computers  and Industrial Engineering, 85, 44–56, 2015 (SCI).

 

Atıf Yapılan Çalışma:

Bal, H., Örkcü, H.H., Çelebioğlu S., “Improving the Discrimination Power and Weights Dispersion in the Data Envelopment Analysis”, Computers and Operations Research, 37 (1), 99-107, 2010. (SCI)

 

Yapılan Atıflar

F.43. Angiz, M.Z.L., Mustafa, A., Emrouznejad, A.,  “Ranking Efficient Decision Making Units in Data Envelopment Analysis Using Fuzzy Concept”, Computers and Industrial Engineering, 59 (4), 712-719, 2010 (SCI).

 

F.44. Lu, W.M., Hung, S.W.,  “Exploring the efficiency and effectiveness in global e-retailing companies”, Computers and Operations Research, 38 (8), 1351-1360, 2011 (SCI).

 

F.45. Cooper, W.W., Ruiz, J.L., Sirvent, I., “Choices and Uses of DEA Weights”, Handbook on Data Envelopment Analysis, International Series in Operations Research & Management Science, 164, 93-126, 2011.

 

F.46. Bernroider, E., Obwegeser, N., Stix, V.,  “Analysis of heuristic validity, efficiency and applicability of the profile distance method for implementation in decision support sytems”, Computers and Operations Research, 38 (5), 816-823, 2011 (SCI).

 

F.47. Chen, J.X., Deng, M., Gingras, S.,  “A Modified Super Efficiency Measure Based on Simultaneous Input-Output Projection in Data Envelopment Analysis”, Computers and Operations Research, 38 (2), 496-504, 2011 (SCI).

 

F.48. Wang, Y.M., Jiang, P. “Alternative mixed integer linear programming models for identfying the most efficient decision making unit in data envelopment analysis”, Computers and Industrial Engineering, 62, 546-553, 2012 (SCI).

 

F.49. Washio, S., Yamada, S., Tanaka, T., Tanino, T.  “Improvements by analyzing the efficient frontier in DEA”, European Journal of Operational Research, 217 (1), 173-184, 2012 (SCI).

 

F.50. Pendharkar, P.C., “Ensemble Based Ranking of Decision Making Units”, INFOR, 51 (3), 151–159, 2013 (SCI).

 

F.51. Monjezi, M., Farzaneh, F., Asadi, A., “Evaluating of Blasting Patterns Using Operational Research Models”, Archives of Mining Sciences, 58 (3), 881–892, 2013 (SCI).

 

F.52. Angiz, M.Z.L. Mustafa, A., Kamali, M.J., “Cross-ranking of Decision Making Units in Data Envelopment Analysis”, Applied Mathematical Modelling, 37, 398–405, 2013 (SCI).

 

F.53. Matinkhah, S.M., Khorsandi, S., Yarahmadian, S., “A new handoff management system for heterogeneous wireless access networks”, Int. J. Commun. Syst., 27, 1020–1033, 2014 (SCI).

 

F.54. Paulo, R.J., Edson de Oliveria, P., Salomon, R., Luiz, F.., “Portfolio optimization: efficiency analysis”, Rae-Revista De Administracao De Empresas., 54(4), 405–413, 2014 (SCI).

 

F.55. Mahdiloo, M., Noorizadeh, A., FarzipoorSaen, R., “Optimal direct mailing modelling based on data envelopment analysis”, Expert Systems, 31(2), 101-109, 2014 (SCI).

 

F.56. Ghasemi, M.R., Ignatus, J., Emrouznejad, A., “A bi-objective weighted model for improving the discrimination power in MCDEA”, European Journal of Operational Research, 223 (3), 640–650, 2014 (SCI).

 

F.57. Yang, A. Zhang, Z. Zhang,Y. Chen, D., “Gap minimization for peer-evaluation in DEA cross efficiency”, Journal of Applied Mathematics, 453749, 2014 (SCI).

 

F.58. Miranda, R.C., Montevechi, J.A.B., Francisco da Silva, A., Marin, F.A.S, A New Approach to Reducing Search Space and Increasing Efficiency in Simulation Optimization Problems via the Fuzzy-DEA-BCC, Mathematical Problems in Engineering, 2014, Article ID 450367  (SCI).

 

F.59. Jahed, R., Amirteimoori, A., Azizi, H., “Performance measurement of decision-making units under uncertainty conditions: An approach based on double frontier analysis”, Measurement, 69, 264–279, 2015 (SCI).

 

F.60. Pendharkar, P.C., “Cost minimizing target setting heuristics for making inefficient decision-making units efficient”, Int. J. Production Economics, 162,  1–12, 2015 (SCI).

 

F.61. Yari, M., Monjezi, M., Bagherpour, R., “Blasting Operation Management Using Mathematical Methods”, 12th International IAEG Congress, Torino, Italy, Sep 15-19, 2014, page 483-493, 2015 (SCI).

 

F.62. Nik, M.G., Mihanzadeh, H., Izadifar, M., “Application of Data Envelopment Analysis in Measuring the Efficiency of Mutual Fund”, International Conference on Mathematics, Engineering and Industrial Applications, Malaysia, May 28-30, 2014, AIP Conference Proceedings, 1660, Article Number: 090012, 2015 (SCI).

 

F.63. Rotela Junior, P.  , Pamplona, E.D.O.Rocha, L.C.S.Valerio, V.E.D.M.Paiva, A.P. , Stochastic portfolio optimization using efficiency evaluation, Management Decision, 53, 8, 1698-1713, 2015.

 

F.64. Hatefi, S.M., Torabi, S.A., A common weight linear optimization aproach for multicriteria ABC inventory classification, Advances in Decision Sciences, article number: 645746, 2015.

 

F.65. Moghimi, A., Fazel Yazdi, A., Harati, S.D., Determining the optimal structure and performance and efficiency evaluation for water and wastewater organizations in Iran: A nonmararametric approach, Bulltein of the Georgian National Academy of Sciences, 9 (1), 431-443, 2015.

 

F.66. Francisco da Silva, A., Marins, F.A.S., Literature review on deterministic and under uncertainty Goal Programming models, Production, 25(1), 92-112, 2015.

 

F.67. Rotela Junior, P.  , Pamplona, E.D.O., Fransiscco da Silva, A., Salomon, F.L.R., Eduardo de Mello Valerio, V., Alves de Carvalho, L., Data Envelopment Analysis and Fuzzy Theory: Efficiency Evaluation under uncertainty in portfolio optimization, WSEAS Transactions on Business and Economics, ISSN/E-ISSN: 1109-9526/2224-2899, Vol 12, 74-87, 2015.

 

F.68. Chaves, M.C.C., Mello, J.CB.C.S., Angulo-Meza, L. , Studies of some duality properties in the Li and Reeves model, Journal of the Operational Research Society, ****, 2015.

 

Atıf Yapılan Çalışma:

Bal, H., Örkcü, H.H., Çelebioğlu S., “A New Method Based on the Dispersion of Weights in Data Envelopment Analysis”, Computers&Industrial Engineering, 54 (3), 502-512, 2008. (SCI)

 

Yapılan Atıflar

F.69. Savitri Narayanan, “Introduction to Data Envelopment Analysis and a Case Study in Health Care Providers”, Master Thesis: Master of Science, The Pennsylvania State University, Department of Industrial and Manufacturing Engineering, 2009, USA. Thesis Advisor: A. Ravi Ravindran.

 

F.70. Wang, Y.M., Luo, Y.,  “A Note on a New Method Based on the Dispersion of Weights in Data Envelopment Analysis”, Computers and Industrial Engineering, 56 (4), 1703-1707, 2009 (SCI).

 

F.71. Angiz, M.Z.L., Mustafa, A., Emrouznejad, A.,  “Ranking Efficient Decision Making Units in Data Envelopment Analysis Using Fuzzy Concept”, Computers and Industrial Engineering, 59 (4), 712-719, 2010 (SCI).

 

F.72. Ramon, N., Ruiz, J.L., Sirvent, I.,  “A Multiplier Bound Approach to Assess Relative Efficiency in DEA Without Slacks”, European Journal of Operational Research, 203, 261-269, 2010 (SCI).

 

F.73. Cooper, W.W., Ruiz, J.L., Sirvent, I., “Choices and Uses of DEA Weights”, Handbook on Data Envelopment Analysis, International Series in Operations Research & Management Science, 164, 93-126, 2011.

 

F.74. Lam, K.F., Bai, F.,  “Minimizing deviations of input and output weights from their means Data Envelopment Analysis”, Computers and Industrial Engineering, 60, 527-533, 2011 (SCI).

 

F.75. Moheb-Alizadeh, H., Rasuli, S.M., Tavakkoli-Moghaddam, R.,  “The use of multi-criteria data envelopment analysis (MCDEA) for location-allocation problems in fuzzy environment”, Expert Sytems with Applications, 38, 5687-5695, 2011 (SCI).

 

F.76. Langroudi, M.Z.A., Emrouznejad, A., Mustafa, A., “Type 2- TOPSIS: A Group Decision Problem When Ideal Values Are Not-Extreme Endpoints”, Group Decision and Negotation, 22 (5), 851-866, 2013 (SCI).

 

F.77. Jahanshahloo, G.R., Shahmirzadi, P.F., “New methods for ranking decision making units based on the dispersion of weights and Norm 1 in Data Envelopment Analysis”, Computers and Industrial Engineering, 65 (2), 187-193, 2013 (SCI).

 

F.78. Mecit, E.D., Alp, I., “A new proposed model of restricted Data Envelopment Analysis by correlation coefficients”, Applied Mathematical Modelling, 37 (5), 3407-3425, 2013 (SCI).

 

F.79. Angiz, M.Z.L. Mustafa, A., Kamali, M.J., “Cross-ranking of Decision Making Units in Data Envelopment Analysis”, Applied Mathematical Modelling, 37, 398–405, 2013 (SCI).

 

F.80. Liu, S.T., “Restricting weight flexibility in fuzzy two-stage DEA”, Computers and Industrial Engineering, 74, 149–160, 2014 (SCI).

 

F.81. Mahdiloo, M., Noorizadeh, A., FarzipoorSaen, R., “Optimal direct mailing modelling based on data envelopment analysis”, Expert Systems, 31(2), 101-109, 2014 (SCI).

 

F.82. Ghasemi, M.R., Ignatus, J., Emrouznejad, A., “A bi-objective weighted model for improving the discrimination power in MCDEA”, European Journal of Operational Research, 223 (3), 640–650, 2014. (SCI)

 

F.83. Francisco da Silva, A., Marins, F.A.S., Literature review on deterministic and under uncertainty Goal Programming models, Production, 25(1), 92-112, 2015.

 

F.84. Lam, K.F., “In the determination of the most efficient decision making unit in data envelopment analysis”, Computers  and  Industrial Engineering, 79, 76–84, 2015 (SCI).

 

Atıf Yapılan Çalışma

Bal, H., Örkcü, H.H., “Data Envelopment Analysis Approach to Two-Group Classification Problems and an Experimantal Comparison with Some Classification Models”, Hacettepe Journal of Mathematics and Statistics, 36 (2), 169-180, 2007. (SCI)

 

Yapılan Atıflar

F.85. Sabermahani, A., Barouni, M., Seyedin, H., Aryankhesal, A.,  “Provincial Human Development Index, a Guide for Efficiency Level Analysis: The Case of Iran”, Iranian Journal of Public Health, 42 (2), 149-157, 2013 (SCI).

 

Atıf Yapılan Çalışma

Bal, H., Örkcü, H.H., Çelebioğlu S., “An Experimental Comparison of the New Goal Programming and Linear Programming Approaches in the Two-Group Discriminant Problems”, Computers and Industrial Engineering, 50 (3), 296-311, 2006.

 

Yapılan Atıflar

F.86. Ekinci, Y.,  “Demand Assignment: A DEA and Goal Programming Approach”, Applied Mathematics for Science and Engineering-12th WSEAS International Conference on Applied Mathematics, 394-397, 2007 (SCI).

 

F.87. Caballero, R. Gołmez, T., Ruiz, F.,  “Goal Programming: Realistic Targets for the Near Future”, Journal of Multi-Criteria Decision Analysis, 16, 79–110, 2009.

 

F.88. Xu, G., Papageorgiou, L.G. “A Mixed Integer Optimization for Data Classification”, Computers & Industrial Engineering, 56 (4), 1205–1215, 2009 (SCI).

 

F.89. Parra, M.A., Terol, A.B., Gladish, B.P., Uria, M.C.R.  “A New Approach of Romero’s Extended Lexicographic Goal Programming”, Soft Computing, 14, 1217–1226, 2010 (SCI).

 

F.90. Seyedi, R.  “Logical Comments on Goal Programming Approach Based on Median”, Journal of Applied Sciences Research, 7 (6), 891-894, 2011.

 

F.91. Yang, L., Liu, S., Tsoka, S., Papageorgiou, L.G., “Sample re-weighting hyper box classifier for multi-class data classification”, Computers  and Industrial Engineering, 85, 44–56, 2015 (SCI).

 

Atıf Yapılan Çalışma

Bal, H., Örkcü, H.H. “A Goal Programming Approach to Weight Dispersion Problem in Data Envelopment Analysis and Simulation Study”, G.U. Journal of Science, 20 (4), 117-125, 2007. (Ebsco, Inspec, Proquest, Scopus).

 

Yapılan Atıflar

F.92. Segota, A., “Evaluating shops efficiency using data envelopment analysis: Categorical approach”,  Zb. Rad. Ekon. Fak. Rij.  26 (2), 325–343, 2008.

 

F.93. Mecit, E.D., Alp, I, A new proposed model of restricted data envelopment analysis by correlation coefficients, Applied Mathematical Modelling, 37 (2013) 3407–3425 (SCI).

 

F.94. Yang, A., Zhang, Z., Zhang, Y., Chen, D., Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency, Journal of Applied Mathematics,  Volume 2014, Article ID 453749 (SCI).

 

Atıf Yapılan Çalışma:

Bal, H., Örkcü, H.H., “Combining the Discriminant Analysis and Data Envelopment Analysis in View of Multiple Criteria Decision Making: A New Model”, G.U. Journal of Science, 18 (3), 355-364, 2005. (Ebsco, Inspec, Proquest, Scopus)

 

Yapılan Atıflar

F.95. Ar, İ.M., Baki, B., “Measuring and Evaluating Efficiency of a Glass Company Through Data Envelopment Analysis”, Problems and Perspectives in Management, 5 (1), 72-81, 2007.

 

F.96. Eroğlu, E., Lorcu, F., “Veri Zarflama Analitik Hiyerarşi Prosesi (VZAHP) İle Sayısal Karar Verme”, İ.Ü. İşletme Fakültesi İşletme Dergisi, 36 (2), 30-53, 2007.

 

F.97. Agarwal, R., Mehrotra, A., “Developing global competitiveness by assessing organized retail productivity using data envelopment analysis”, Int. Journal of Business Science and Applied Management, 4 (2), 1–16, 2009

 

Atıf Yapılan Çalışma:

Örkcü, H.H., Bal, H.,  “A New Approach to Cross Efficiency in Data Envelopment Analysis and Performance Evolution of Turkey Cities”, G.U. Journal of Science, 25 (1), 107-117, 2012. (Ebsco, Inspec, Proquest, Scopus).

 

Yapılan Atıflar

F.98. Ozkara, Y. , Atak, M., Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey, Energy, 93 (2015) 495-510 (SCI).

 

Atıf Yapılan Çalışma:

Kardiyen, F., Örkcü, H.H., “The Comparison of Principal Component Analysis and Data Envelopment Analysis in Ranking of Decision Making Units”, G.U. Journal of Science, 19 (2), 127-133, 2006.  (Ebsco, Inspec, Proquest ve Scopus indekslerinde taranmaktadır).

 

Yapılan Atıflar

F.99. Bei, L.T., Cheng, T.C., Brand power index – using principal component analysis, Applied Economics, 2013, 45, 2954–2960 (SSCI).