. Khoshroo, A., Energy use pattern and greenhouse gas emission of wheat production: a case study in Iran, Agricultural Communications, 2014, 2(2), P. 9-14.
. Charnes, A., Cooper, W. W., Rhodes, E., Measuring the efficiency of decision making units, European journal of operational research, 1978, 2(6), P. 429-444.
. Tone, K., Toloo, M., Izadikhah, M., A modified slacks-based measure of efficiency in data envelopment analysis, European Journal of Operational Research, 2020, 287(2), P. 560-571.
. Kao, C., Measuring efficiency in a general production possibility set allowing for negative data, European Journal of Operational Research, 2020, 282(3), P. 980-988.
. Izadikhah, M., Improving the Banks Shareholder Long Term Values by Using Data Envelopment Analysis Model, Advances in Mathematical Finance and Applications, 2018, 3(2), P. 27-41.
. Emrouznejad, A., Yang, G.-l., A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016, Socio-Economic Planning Sciences, 2018, 61, P. 4-8.
. Jafari, M., Mousavi, M., Performance analysis and rating of insurance companies using DEA in Iran capital market, Advances in Mathematical Finance and Applications, 2017, 2(3), P. 41-50.
. Akbari, S., Heydari, J., Keramati, M., Keramati, A., Designing A Mixed System of Network DEA for Evaluating the Efficiency of Branches of Commercial Banks in Iran, Advances in Mathematical Finance and Applications, 2019, 4(1), P. 1-13.
. Muñiz, M. A., Separating managerial inefficiency and external conditions in data envelopment analysis, European Journal of Operational Research, 2002, 143(3), P. 625-643.
. Khoshroo, A., Mulwa, R., Emrouznejad, A., Arabi, B., A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production, Energy, 2013, 63, P. 189-194.
. Khoshroo, A., Mulwa, R., Improving Energy Efficiency Using Data Envelopment Analysis: A Case of Walnut Production. In Managing Service Productivity, 2014, pp 227-240, Springer,
. Mulwa, R., Emrouznejad, A., Muhammad, L., Economic efficiency of smallholder maize producers in Western Kenya: a DEA meta-frontier analysis, International Journal of Operational Research, 2009, 4(3), P. 250-267.
. Izadikhah, M., Khoshroo, A., Energy management in crop production using a novel Fuzzy Data Envelopment Analysis model, RAIRO-Operations Research, 2018, 52(2), P. 595-617.
. Khoshroo, A., Izadikhah, M., Improving efficiency of farming products through benchmarking and data envelopment analysis, International Journal of Management and Decision Making, 2019, 18(1), P. 15-30.
. Mousavi-Avval, S. H., Rafiee, S., Mohammadi, A., Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis, Energy, 2011, 36(2), P. 909-916.
. Mohammadi, A., Rafiee, S., Jafari, A., Dalgaard, T., Knudsen, M. T., Keyhani, A., Mousavi-Avval, S. H., Hermansen, J. E., Potential greenhouse gas emission reductions in soybean farming: a combined use of life cycle assessment and data envelopment analysis, Journal of Cleaner Production, 2013, 54, P. 89-100.
. Izadikhah, M., Saen, R. F., Evaluating sustainability of supply chains by two-stage range directional measure in the presence of negative data, Transportation Research Part D: Transport and Environment, 2016, 49, P. 110-126.
. Izadikhah, M., Saen, R. F., A new preference voting method for sustainable location planning using geographic information system and data envelopment analysis, Journal of Cleaner Production, 2016, 137, P. 1347-1367.
. Ruggiero, J., Non-discretionary inputs in data envelopment analysis, European Journal of Operational Research, 1998, 111(3), P. 461-469.
. Khoshroo, A., Emrouznejad, A., Ghaffarizadeh, A., Kasraei, M., Omid, M., Sensitivity analysis of energy inputs in crop production using artificial neural networks, Journal of cleaner production, 2018, 197, P. 992-998.
. Dhungana, B. R., Nuthall, P. L., Nartea, G. V., Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis, Australian Journal of Agricultural and Resource Economics, 2004, 48(2), P. 347-369.
. Al-Mezeini, N. K., Oukil, A., Al-Ismaili, A. M., Investigating the efficiency of greenhouse production in Oman: A two-stage approach based on Data Envelopment Analysis and double bootstrapping, Journal of Cleaner Production, 2020, 247, P. 119160.
. Maina, F., Mburu, J., Gitau, G., VanLeeuwen, J., Negusse, Y., Economic efficiency of milk production among smallscale dairy farmers in Mukurweini, Nyeri County, Kenya, Journal of Development and Agricultural Economics, 2018, 10(5), P. 152-158.
. Khoshroo, A., Izadikhah, M., Emrouznejad, A., Improving energy efficiency considering reduction of CO2 emission of turnip production: A novel data envelopment analysis model with undesirable output approach, Journal of Cleaner Production, 2018, 187, P. 605-615.
. Ebrahimi, R., Salehi, M., Investigation of CO2 emission reduction and improving energy use efficiency of button mushroom production using Data Envelopment Analysis, Journal of Cleaner Production, 2015, 103, P. 112-119.
. Hosseinzadeh-Bandbafha, H., Safarzadeh, D., Ahmadi, E., Nabavi-Pelesaraei, A., Hosseinzadeh-Bandbafha, E., Applying data envelopment analysis to evaluation of energy efficiency and decreasing of greenhouse gas emissions of fattening farms, Energy, 2017, 120, P. 652-662.
. Harrison, J., Rouse, P., Armstrong, J., Categorical and continuous non-discretionary variables in data envelopment analysis: a comparison of two single-stage models, Journal of Productivity Analysis, 2012, 37(3), P. 261-276.
. Lotfi, F. H., Jahanshahloo, G. R., Esmaeili, M., Sensitivity analysis of efficient units in the presence of non-discretionary inputs, Applied mathematics and computation, 2007, 190(2), P. 1185-1197.
. Syrjänen, M. J., Non-discretionary and discretionary factors and scale in data envelopment analysis, European journal of operational research, 2004, 158(1), P. 20-33.
. Saen, R. F., A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscretionary factors, Annals of Operations Research, 2009, 172(1), P. 177-192.
. Azizi, H., Ajirlu, H. G., Measurement of the worst practice of decision-making units in the presence of non-discretionary factors and imprecise data, Applied Mathematical Modelling, 2011, 35(9), P. 4149-4156.
. Aliakbarpoor, Z., Izadikhah, M., Evaluation and ranking DMUs in the presence of both undesirable and ordinal factors in data envelopment analysis, International Journal of Automation and Computing, 2012, 9(6), P. 609-615.
. Khoshandam, L., Amirteimoori, A., Matin, R. K., Marginal rates of substitution in the presence of non-discretionary factors: A data envelopment analysis approach, Measurement, 2014, 58, P. 409-415.
. Shabani, A., Torabipour, S. M. R., Saen, R. F., Khodakarami, M., Distinctive data envelopment analysis model for evaluating global environment performance, Applied Mathematical Modelling, 2015, 39(15), P. 4385-4404.
. Soltani, N., Lozano, S., Potential-based efficiency assessment and target setting, Computers & Industrial Engineering, 2018, 126, P. 611-624.
. Taleb, M., Ramli, R., Khalid, R., Developing a two-stage approach of super efficiency slack-based measure in the presence of non-discretionary factors and mixed integer-valued data envelopment analysis, Expert Systems with Applications, 2018, 103, P. 14-24.
. Galagedera, D. U., Modelling social responsibility in mutual fund performance appraisal: A two-stage data envelopment analysis model with non-discretionary first stage output, European Journal of Operational Research, 2019, 273(1), P. 376-389.
. Dibachi, H., Behzadi. MH, Izadikhah, M., Stochastic Modified MAJ Model for Measuring the Efficiency and Ranking of DMUs, Indian Journal of Science and Technology, 2015, 8 (8), P. 549–555, Doi: 10.17485/ijst/2015/v8iS8/71505
. Queiroz, M. V. A. B., Sampaio, R. M. B., Sampaio, L. M. B., Dynamic efficiency of primary education in Brazil: Socioeconomic and infrastructure influence on school performance, Socio-Economic Planning Sciences, 2020, 70, P. 100738.
. Chambers, R. G., Chung, Y., Färe, R., Profit, directional distance functions, and Nerlovian efficiency, Journal of optimization theory and applications, 1998, 98(2), P. 351-364.
. Izadikhah, M., Using goal programming method to solve DEA problems with value judgments, Yugoslav Journal of Operations Research, 2016, 24 (2), P. 267 – 282, Doi: 10.2298/YJOR121221015I
. Allahyar, M., Rostamy-Malkhalifeh, M., Negative data in data envelopment analysis: Efficiency analysis and estimating returns to scale, Computers & Industrial Engineering, 2015, 82, P. 78-81.