[1] A.S. Camanho, R.G. Dyson, A generalisation of the Farrell cost efficiency measure applicable to
non-fully competitive settings, Omega 36 (2008) 147–162.
[2] L. Chen, S.C. Ray, Cost efficiency and scale economies in general dental practices in the US: a
non-parametric and parametric analysis of Colorado data, J. Oper. Res. Soc. 64 (2013) 762–774.
[3] A. Dehnokhalaji, M. Ghiyasi, P. Korhonen, Resource allocation based on cost efficiency, J. Oper.
Res. Soc. 68 (2017) 1279–1289.
[4] A.R. Fakharzadeh Jahromi, H. Rostamzadeh, M.H. Mojtabaei, Designing and evaluating an opti-
mal budget plan for parallel network systems through DEA methodology, J. Math. Model. 11 (2023)
665–680.
[5] R. Fare, S. Grosskopf, A nonparametric cost approach to scale efficiency, Scand. J. Econ. 87 (1985)
594–604.
[6] R. Fare, S. Grosskopf, Resolving a strange case of efficiency, J. Oper. Res. Soc. 57 (2006) 1366–
1368.
[7] M.J. Farrell, The measurement of productive efficiency J. Royal Stat. Soc.: Series A (General) 120
(1957) 253–281.
[8] A. Ghaffari-Hadigheh, W. Lio, Network data envelopment analysis in uncertain environment, Com-
put. Ind. Eng. 148 (2020) 106657.
[9] G.R. Jahanshahloo, F. Hosseinzadeh Lotfi, M. Alimardani Jondabeh, S. Banihashemi, L. Lakzaie,
Cost efficiency measurement with certain price on fuzzy data and application in insurance organi-
zation, Appl. Math. Sci 2 (2008) 1–18.
[10] C. Kao, S.T. Liu, Fuzzy efficiency measures in data envelopment analysis, Fuzzy Sets Syst. 113
(2000) 427–437.
[11] W. Lio, B. Liu, Uncertain data envelopment analysis with imprecisely observed inputs and outputs,
Fuzzy Optim. Decis. Mak. 17 (2018) 357–373.
[12] B. Liu, Uncertainty Theory (Studies in Fuzziness and Soft Computing), Springer, 2007.
[13] Z. Mohmmadnejad, A. Ghaffari-Hadigheh, A novel DEA model based on uncertainty theory, Ann.
Oper. Res. 264 (2018) 367–389.
[14] E. Mombini, M. Rostamy-Malkhalifeh, M. Saraj, The sustainability radius of the cost efficiency in
Interval Data Envelopment Analysis: A case study from Tehran Stocks, Adv. Math. Finanace Appl.
7 (2022) 279–291.
[15] P. Peykani, J. Gheidar-Kheljani, D. Rahmani, M.H. Karimi Gavareshki, A. Jabbarzadeh, Uncertain
Super-Ffficiency Data Envelopment Analysis, In Advances in Econometrics, Operational Research,
Data Science and Actuarial Studies, Springer, Cham, 2022.
[16] F.S. Piran, D.P. Lacerda, A.S. Camanho, M.C. Silva, Internal benchmarking to assess the cost
efficiency of a broiler production system combining data envelopment analysis and throughput ac-
counting, Int. J. Prod. Econ. 238 (2021) 108173.
[17] J. Pourmahmoud, N. Bafekr Sharak, Measuring cost efficiency with new fuzzy DEA models, Int. J.
Fuzzy Syst.20 (2018) 155–162.
[18] J. Pourmahmoud, N. Bagheri, Providing an uncertain model for evaluating the performance of a
basic two-stage system, Soft Comput. 25 (2021) 4739–4748.
[19] J. Pourmahmoud, N. Bagheri, Uncertain Malmquist productivity index: An application to evaluate
healthcare systems during COVID-19 pandemic, Socio-Econ. Plann. 87 (2023) 101522.
[20] S. Saati, A. Hatami-Marbini, M. Tavana, P.J. Agrell, A fuzzy data envelopment analysis for clus-
tering operating units with imprecise data, Int. J. Uncertain. Fuzziness Knowlege-Based Syst. 21
(2013) 29–54.
[21] J.K. Sengupta, A fuzzy systems approach in data envelopment analysis, Comput. Math. Appl. 24
(1992) 259–266.
[22] J.K. Sengupta, Efficiency measurement in stochastic input-output systems, Int. J. Syst. Sci. 13
(1982) 273–287.
[23] X. Shi, Y.Li, A. Emrouznejad, J. Xie, L. Liang, Estimation of potential gains from bank mergers:
A novel two-stage cost efficiency DEA model, J. Oper. Res. Soc. 68 (2017) 1045–1055.
[24] K. Soleimani-Chamkhorami, S. Ghobadi, Cost-efficiency under inter-temporal dependence, Ann.
Oper. Res. 302 (2021) 289–312.
[25] S. Soofizadeh, R. Fallahnejad, A bargaining game model for performance evaluation in network
DEA considering shared inputs in the presence of undesirable outputs, J. Math. Model. 10 (2022)
227–245.
[26] K. Tone, A strange case of the cost and allocative efficiencies in DEA, J. Oper. Res. Soc., 53 (2002)
1225–1231.
[27] M. Wen, L. Guo, R. Kang, Y. Yang, Data envelopment analysis with uncertain inputs and outputs,
J. Appl. Math. 2014 307108 (2014).