Charnes, A., W.W. Cooper, and E. Rhodes, Measuring the efficiency of decision making units. European journal of operational research, 1978. 2(6): p. 429-444.
 Ruggiero, J., Non-discretionary inputs in data envelopment analysis. European Journal of Operational Research, 1998. 111(3): p. 461-469.
 Seiford, L.M. and J. Zhu, Profitability and marketability of the top 55 US commercial banks. Management science, 1999. 45(9): p. 1270-1288.
 Lewis, H.F. and T.R. Sexton, Network DEA: efficiency analysis of organizations with complex internal structure. Computers & Operations Research, 2004. 31(9): p. 1365-1410.
 Yu, M.-M. and E.T. Lin, Efficiency and effectiveness in railway performance using a multi-activity network DEA model. Omega, 2008. 36(6): p. 1005-1017.
 Amirteimoori, A., S. Kordrostami, and H. Azizi, Additive models for network data envelopment analysis in the presence of shared resources. Transportation Research Part D: Transport and Environment, 2016. 48: p. 411-424.
 Kao, C. and S.-N. Hwang, Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European journal of operational research, 2008. 185(1): p. 418-429.
 Tone, K. and M. Tsutsui, Network DEA: A slacks-based measure approach. European journal of operational research, 2009. 197(1): p. 243-252.
 Kao, C. and S.-N. Hwang, Efficiency measurement for network systems: IT impact on firm performance. Decision Support Systems, 2010. 48(3): p. 437-446.
 Amirteimoori, A. and S. Kordrostami, Production planning in data envelopment analysis. International Journal of Production Economics, 2012. 140(1): p. 212-218.
 Kongar, E.A. and K. Rosentrater, data Envelopment Analysis Approach to compare the Environmental Efficiency of Energy utilization. International Journal of Green Computing (IJGC), 2010. 1(2): p. 1-17.
 Salari Boron, M. and M. Zandieh, Measuring the efficiency of internet shops using a multi stages Data Envelopment Analysis (DEA) model. Management Research in Iran, 2016. 20(3): p. 127-152.
 Sueyoshi, T. and K. Sekitani, Measurement of returns to scale using a non-radial DEA model: A range-adjusted measure approach. European Journal of Operational Research, 2007. 176(3): p. 1918-1946.
 Krivonozhko, V.E., F.R. Førsund, and A.V. Lychev, Measurement of returns to scale using non-radial DEA models. European Journal of Operational Research, 2014. 232(3): p. 664-670.
 Krivonozhko, V.E., A.V. Lychev, and F. Førsund, Measurement of returns to scale in radial DEA models. Computational mathematics and mathematical physics, 2017. 57(1): p. 83-93.
 h. Fakhr Mousavi, S.M., et al., Non-radial two-stage network DEA model to estimate returns to scale. Journal of Modelling in Management, 2021. ahead-of-print(ahead-of-print).
 Yuan, G., Two-stage fuzzy production planning expected value model and its approximation method. Applied Mathematical Modelling, 2012. 36(6): p. 2429-2445.
 Khaledian, F. and M. Momeni, Leveling of Project Resources under Fuzzy-Stochastic Conditions. Modern Research in Decision Making, 2021. 6(3): p. 129-154.
 Shakouri Gangavi, H. and A. Kazemi, Reduction of Energy Intensity in a Hospital after Implementation of an Energy Management System Considering Consumer Fuzzy Preferences. Modern Research in Decision Making, 2018. 2(4): p. 105-128.
 Soltanzadeh, E. and H. Omrani, Dynamic network data envelopment analysis model with fuzzy inputs and outputs: An application for Iranian Airlines. Applied Soft Computing, 2018. 63: p. 268-288.
 Heydari, C., H. Omrani, and R. Taghizadeh, A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran. Journal of Air Transport Management, 2020. 89: p. 101923.
 Aida, K., et al., Evaluating water supply services in Japan with RAM: a range-adjusted measure of inefficiency. Omega, 1998. 26(2): p. 207-232.
 Cooper, W.W., K.S. Park, and J.T. Pastor, RAM: a range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. Journal of Productivity analysis, 1999. 11(1): p. 5-42.
 Banker, R.D., et al., Returns to scale in different DEA models. European Journal of Operational Research, 2004. 154(2): p. 345-362.
 Sueyoshi, T. and M. Goto, Measurement of returns to scale and damages to scale for DEA-based operational and environmental assessment: how to manage desirable (good) and undesirable (bad) outputs? European journal of operational research, 2011. 211(1): p. 76-89.
 Thrall, R.M., Duality, classification and slacks in DEA. Annals of Operations Research, 1996. 66(2): p. 109-138.
 Bhadra, D., Race to the bottom or swimming upstream: performance analysis of US airlines. Journal of Air Transport Management, 2009. 15(5): p. 227-235.
 Hong, S. and A. Zhang, An efficiency study of airlines and air cargo/passenger divisions: a DEA approach. World Review of Intermodal Transportation Research, 2010. 3(1-2): p. 137-149.
 Tavassoli, M., G.R. Faramarzi, and R.F. Saen, Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input. Journal of Air Transport Management, 2014. 34: p. 146-153.
 Li, Y. and Q. Cui, Airline efficiency with optimal employee allocation: an input-shared network range adjusted measure. Journal of Air Transport Management, 2018. 73: p. 150-162.