AMIRTEIMOORI, A. & EMROUZNEJAD, A. 2011. Flexible measures in production process: A DEA-based approach. RAIRO - Operations Research, 45, 63-74.
AMIRTEIMOORI, A. & EMROUZNEJAD, A. 2012. Notes on “Classifying inputs and outputs in data envelopment analysis”. Applied Mathematics Letters, 25, 1625-1628.
AMIRTEIMOORI, A., EMROUZNEJAD, A. & KHOSHANDAM, L. 2013. Classifying flexible measures in data envelopment analysis: A slack-based measure. Measurement, 46, 4100-4107.
AMIRTEIMOORI, A. & KORDROSTAMI, S. 2005. Multi-component efficiency measurement with imprecise data. Applied Mathematics and Computation, 162, 1265-1277.
AMIRTEIMOORI, A. & KORDROSTAMI, S. 2014. Data envelopment analysis with discrete-valued inputs and outputs. Expert Systems, 31, 335-342.
AMIRTEIMOORI, A., KORDROSTAMI, S. & AZIZI, H. 2016. Additive models for network data envelopment analysis in the presence of shared resources. Transportation Research Part D: Transport and Environment, 48, 411-424.
AZIZI, H. 2013a. A note on “A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscriminatory factors”. Annals of Operations Research, 211, 49-54.
AZIZI, H. 2013b. A note on data envelopment analysis with missing values: an interval DEA approach. The International Journal of Advanced Manufacturing Technology, 66, 1817-1823.
AZIZI, H. 2014. A note on “Supplier selection by the new AR-IDEA model”. The International Journal of Advanced Manufacturing Technology, 71, 711-716.
BALA, K. & COOK, W. D. 2003. Performance measurement with classification information: an enhanced additive DEA model. Omega, 31, 439-450.
BANKER, R. D., CHARNES, A. & COOPER, W. W. 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30, 1078-1092.
BEASLEY, J. E. 1990. Comparing university departments. Omega, 18, 171-183.
BEASLEY, J. E. 1995. Determining Teaching and Research Efficiencies. Journal of the Operational Research Society, 46, 441-452.
CHARNES, A., COOPER, W. W. & RHODES, E. 1978. Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
COOK, W. D., GREEN, R. & ZHU, J. 2006. Dual-role factors in data envelopment analysis. IIE Transactions, 38, 105-115.
COOK, W. D. & HABABOU, M. 2001. Sales performance measurement in bank branches. Omega, 29, 299-307.
COOK, W. D., HABABOU, M. & TUENTER, H. H. 2000. Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches. Journal of Productivity Analysis, 14, 209-224.
COOK, W. D., HARRISON, J., ROUSE, P. & ZHU, J. 2012. Relative efficiency measurement: The problem of a missing output in a subset of decision making units. European Journal of Operational Research, 220, 79-84.
COOK, W. D. & ZHU, J. 2006. Rank order data in DEA: A general framework. European Journal of Operational Research, 174, 1021-1038.
COOK, W. D. & ZHU, J. 2007. Classifying inputs and outputs in data envelopment analysis. European Journal of Operational Research, 180, 692-699.
COOPER, W. W., PARK, K. S. & YU, G. 2001. An Illustrative Application of Idea (Imprecise Data Envelopment Analysis) to a Korean Mobile Telecommunication Company. Operations Research, 49, 807-820.
DU, J., LIANG, L., CHEN, Y. & BI, G.-B. 2010. DEA-based production planning. Omega, 38, 105-112.
DU, K., XIE, C. & OUYANG, X. 2017. A comparison of carbon dioxide (CO2) emission trends among
provinces in China. Renewable and Sustainable Energy Reviews, 73, 19-25.
ESKELINEN, J. 2017. Comparison of variable selection techniques for data envelopment analysis in a retail bank. European Journal of Operational Research, 259, 778-788.
FAN, Y., BAI, B., QIAO, Q., KANG, P., ZHANG, Y. & GUO, J. 2017. Study on eco-efficiency of industrial parks in China based on data envelopment analysis. Journal of Environmental Management, 192, 107-115.
FARZIPOOR SAEN, R. 2010. A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors. The International Journal of Advanced Manufacturing Technology, 46, 405-410.
FARZIPOOR SAEN, R. 2011. Media selection in the presence of flexible factors and imprecise data. Journal of the Operational Research Society, 62, 1695-1703.
JAHANSHAHLOO, G. R., AMIRTEIMOORI, A. & KORDROSTAMI, S. 2004. Multi-component performance, progress and regress measurement and shared inputs and outputs in DEA for panel data: an application in commercial bank branches. Applied Mathematics and Computation, 151, 1-16.
JAHED, R., AMIRTEIMOORI, A. & AZIZI, H. 2015. Performance measurement of decision-making units under uncertainty conditions: An approach based on double frontier analysis. Measurement, 69, 264-279.
KAO, C. 2006. Interval efficiency measures in data envelopment analysis with imprecise data. European Journal of Operational Research, 174, 1087-1099.
KAO, C. & HWANG, S.-N. 2008. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185, 418-429.
KAO, C. & LIU, S.-T. 2000a. Data envelopment analysis with missing data: An application to University libraries in Taiwan. Journal of the Operational Research Society, 51, 897-905.
KAO, C. & LIU, S.-T. 2000b. Fuzzy efficiency measures in data envelopment analysis. Fuzzy Sets and Systems, 113, 427-437.
KAO, C. & LIU, S.-T. 2004. Predicting bank performance with financial forecasts: A case of Taiwan commercial banks. Journal of Banking & Finance, 28, 2353-2368.
KAO, C. & LIU, S.-T. 2011. Efficiencies of two-stage systems with fuzzy data. Fuzzy Sets and Systems, 176, 20-35.
KAO, T.-W., SIMPSON, N. C., SHAO, B. B. M. & LIN, W. T. 2017. Relating supply network structure to productive efficiency: A multi-stage empirical investigation. European Journal of Operational Research, 259, 469-485.
KHALILI-DAMGHANI, K., TAVANA, M. & HAJI-SAAMI, E. 2015. A data envelopment analysis model with interval data and undesirable output for combined cycle power plant performance assessment. Expert Systems with Applications, 42, 760-773.
KIM, S.-H., PARK, C.-G. & PARK, K.-S. 1999. An application of data envelopment analysis in telephone officesevaluation with partial data. Computers & Operations Research, 26, 59-72.
LIU, D.-Y., WU, Y.-C., LU, W.-M. & LIN, C.-H. 2017. The Matthew effect in the casino industry: A dynamic performance perspective. Journal of Hospitality and Tourism Management, 31, 28-35.
LIU, S.-T. 2008. A fuzzy DEA/AR approach to the selection of flexible manufacturing systems. Computers & Industrial Engineering, 54, 66-76.
LIU, S.-T. 2014. Restricting weight flexibility in fuzzy two-stage DEA. Computers & Industrial Engineering, 74, 149-160.
LOZANO, S. & VILLA, G. 2006. Data envelopment analysis of integer-valued inputs and outputs. Computers & Operations Research, 33, 3004-3014.
SMIRLIS, Y. G., MARAGOS, E. K. & DESPOTIS, D. K. 2006. Data envelopment analysis with missing values: An interval DEA approach. Applied Mathematics and Computation, 177, 1-10.
TAVANA, M., KHANJANI SHIRAZ, R., HATAMI-MARBINI, A., AGRELL, P. J. & PARYAB, K.
2013. Chance-constrained DEA models with random fuzzy inputs and outputs. Knowledge-Based Systems, 52, 32-52.
TOLOO, M. 2009. On classifying inputs and outputs in DEA: A revised model. European Journal of Operational Research, 198, 358-360.
WANG, K., ZHANG, J. & WEI, Y.-M. 2017. Operational and environmental performance in China's thermal power industry: Taking an effectiveness measure as complement to an efficiency measure. Journal of Environmental Management, 192, 254-270.
WANG, Y.-M., GREATBANKS, R. & YANG, J.-B. 2005. Interval efficiency assessment using data envelopment analysis. Fuzzy Sets and Systems, 153, 347-370.
WANG, Y.-M., LUO, Y. & LIANG, L. 2009. Fuzzy data envelopment analysis based upon fuzzy arithmetic with an application to performance assessment of manufacturing enterprises. Expert Systems with Applications, 36, 5205-5211.
ZHANG, D., LI, X., MENG, W. & LIU, W. 2009. Measuring the performance of nations at the Olympic Games using DEA models with different preferences. Journal of the Operational Research Society, 60, 983-990.