[1] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429–444.
[2] Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078–1092.
[3] Gatimbu, K. K., Ogada, M. J., & Budambula, N. L. M. (2020). Environmental efficiency of small-scale tea processors in Kenya: an inverse data envelopment analysis (DEA) approach. Environment, development and sustainability, 22(4), 3333–3345. DOI:10.1007/s10668-019-00348-x
[4] Emrouznejad, A., & Yang, G. L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-economic planning sciences, 61, 4–8. DOI:10.1016/j.seps.2017.01.008
[5] Kaffash, S., Azizi, R., Huang, Y., & Zhu, J. (2020). A survey of data envelopment analysis applications in the insurance industry 1993–2018. European journal of operational research, 284(3), 801–813.
[6] Kao, C. (2017). Network data envelopment analysis. Springer.
[7] Fare, R., & Grosskopf, S. (2000). Network DEA. Socio-economic planning sciences, 34(1), 35–49.
[8] Wei, Q., Zhang, J., & Zhang, X. (2000). An inverse DEA model for inputs/outputs estimate. European journal of operational research, 121(1), 151–163. DOI:10.1016/S0377-2217(99)00007-7
[9] Yan, H., Wei, Q., & Hao, G. (2002). DEA models for resource reallocation and production input/output estimation. European journal of operational research, 136(1), 19–31.
[10] Jahanshahloo, G. R., Hosseinzadeh Lotfi, F., Shoja, N., Tohidi, G., & Razavyan, S. (2004). The outputs estimation of a DMU according to improvement of its efficiency. Applied mathematics and computation, 147(2), 409–413. DOI:10.1016/S0096-3003(02)00734-8
[11] Hadi-Vencheh, A., Foroughi, A. A., & Soleimani-Damaneh, M. (2008). A DEA model for resource allocation. Economic modelling, 25(5), 983–993.
[12] Lertworasirikul, S., Charnsethikul, P., & Fang, S. C. (2011). Inverse data envelopment analysis model to preserve relative efficiency values: the case of variable returns to scale. Computers and industrial engineering, 61(4), 1017–1023. DOI:10.1016/j.cie.2011.06.014
[13] Jahanshahloo, G. R., Hosseinzadeh Lotfi, F., Rostamy-Malkhalifeh, M., & Ghobadi, S. (2014). Using enhanced Russell model to solve inverse data envelopment analysis problems. The scientific world journal, 2014. https://www.hindawi.com/journals/tswj/2014/571896/
[14] Mirsalehy, A., Bakar, M. R. A., Lee, L. S., Jaafar, A. B., & Heydar, M. (2014). Directional slack-based measure for the inverse data envelopment analysis. The scientific world journal, 2014, 1–9.
[15] Ghiyasi, M. (2015). On inverse DEA model: The case of variable returns to scale. Computers and industrial engineering, 87, 407–409. DOI:10.1016/j.cie.2015.05.018
[16] Hadi-Vencheh, A., Hatami-Marbini, A., Ghelej Beigi, Z., & Gholami, K. (2015). An inverse optimization model for imprecise data envelopment analysis. Optimization, 64(11), 2441–2454.
[17] Ghiyasi, M. (2017). Inverse DEA based on cost and revenue efficiency. Computers and industrial engineering, 114, 258–263. DOI:10.1016/j.cie.2017.10.024
[18] Ghobadi, S. (2018). Inverse DEA using enhanced Russell measure in the presence of fuzzy data. International journal of industrial mathematics, 10(2), 165–180.
[19] Amin, G. R., & Ibn Boamah, M. (2021). A two-stage inverse data envelopment analysis approach for estimating potential merger gains in the US banking sector. Managerial and decision economics, 42(6), 1454–1465. DOI:10.1002/mde.3319
[20] Wegener, M., & Amin, G. R. (2019). Minimizing greenhouse gas emissions using inverse DEA with an application in oil and gas. Expert systems with applications, 122, 369–375.
[21] Ghiyasi, M., & Khoshfetrat, S. (2019). Preserve the relative efficiency values: An inverse data envelopment analysis with imprecise data. International journal of procurement management, 12(3), 243–257.
[22] Ghiyasi, M., & Zhu, N. (2020). An inverse semi-oriented radial data envelopment analysis measure for dealing with negative data. IMA journal of management mathematics, 31(4), 505–516.
[23] Gerami, J., Mozaffari, M. R., Wanke, P. F., & Correa, H. L. (2023). A generalized inverse DEA model for firm restructuring based on value efficiency. IMA journal of management mathematics, 34(3), 541–580. DOI:10.1093/imaman/dpab043