[1] Hatami-Marbini, A., Emrouznejad, A., & Tavana, M. (2011). A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making. European journal of operational research, 214(3), 457-472.
[2] Sengupta, J. K. (1992). A fuzzy systems approach in data envelopment analysis. Computers & mathematics with applications, 24(8-9), 259-266.
[3] Triantis, K., & Girod, O. (1998). A mathematical programming approach for measuring technical efficiency in a fuzzy environment. Journal of productivity analysis, 10(1), 85-102.
[4] Guo, P., & Tanaka, H. (2001). Fuzzy DEA: a perceptual evaluation method. Fuzzy sets and systems, 119(1), 149-160.
[5] Hatami-Marbini, A., Tavana, M., & Ebrahimi, A. (2011). A fully fuzzified data envelopment analysis model. International journal of information and decision sciences, 3(3), 252-264.
[6] Lertworasirikul, S., Fang, S. C., Joines, J. A., & Nuttle, H. L. (2003). Fuzzy data envelopment analysis (DEA): a possibility approach. Fuzzy sets and systems, 139(2), 379-394.
[7] 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(3), 5205-5211.
[8] Chen, C. B., & Klein, C. M. (1997). A simple approach to ranking a group of aggregated fuzzy utilities. IEEE Transactions on systems, man, and cybernetics, part B (Cybernetics), 27(1), 26-35.
[9] Kao, C., & Liu, S. T. (2000). Fuzzy efficiency measures in data envelopment analysis. Fuzzy sets and systems, 113(3), 427-437.
[10] Saati, S. M., Memariani, A., & Jahanshahloo, G. R. (2002). Efficiency analysis and ranking of DMUs with fuzzy data. Fuzzy optimization and decision making, 1(3), 255-267.
[11] Parameshwaran, R., Srinivasan, P. S. S., Punniyamoorthy, M., Charunyanath, S. T., & Ashwin, C. (2009). Integrating fuzzy analytical hierarchy process and data envelopment analysis for performance management in automobile repair shops. European journal of industrial engineering, 3(4), 450-467.
[12] Puri, J., & Yadav, S. P. (2014). A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India. Expert systems with applications, 41(14), 6419-6432.
[13] Shiraz, R. K., Tavana, M., & Paryab, K. (2014). Fuzzy free disposal hull models under possibility and credibility measures. International journal of data dnalysis techniques and strategies, 6(3), 286-306.
[14] Momeni, E., Tavana, M., Mirzagoltabar, H., & Mirhedayatian, S. M. (2014). A new fuzzy network slacks-based DEA model for evaluating performance of supply chains with reverse logistics. Journal of intelligent & fuzzy systems, 27(2), 793-804.
[15] Payan, A. (2015). Common set of weights approach in fuzzy DEA with an application. Journal of intelligent & fuzzy systems, 29(1), 187-194.
[16] Aghayi, N., Tavana, M., & Raayatpanah, M. A. (2016). Robust efficiency measurement with common set of weights under varying degrees of conservatism and data uncertainty. European journal of industrial engineering, 10(3), 385-405.
[17] Edalatpanah, S.A., & Smarandache, F. (2020). Traingular single valued neutrosophic analysis: application to hospital performance measurement. Symmetry, 12(4), 588.
[18] Edalatpanah, S. A. (2020). Data envelopment analysis based on triangular neutrosophic numbers. CAAI transactions on intelligence technology. Retrieved from https://www.researchgate.net/profile/Sa_Edalatpanah3/publication/339979254_Data_Envelopment_Analysis_Based_on_Triangular_Neutrosophic_Numbers/links/5e86e5fb92851c2f5277b0bc/Data-Envelopment-Analysis-Based-on-Triangular-Neutrosophic-Numbers.pdf
[19] Edalatpanah, S. A., & Smarandache, F. (2019). Data envelopment analysis for simplified neutrosophic sets. Infinite Study.
[20] Edalatpanah, S. A. (2019). A data envelopment analysis model with triangular intuitionistic fuzzy numbers. International journal of data envelopment analysis, 7(4), 47-58.
[21] Edalatpanah, S. A. (2018). Neutrosophic perspective on DEA. Journal of applied research on industrial engineering, 5(4), 339-345.
[22] Soltani, M. R., Edalatpanah, S. A., Sobhani, F. M., & Najafi, S. E. (2020). A novel two-stage DEA model in fuzzy environment: application to industrial workshops performance measurement. International journal of computational intelligence systems, 13(1), 1134-1152.
[23] Tavana, M., Shiraz, R. K., 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.
[24] Nasseri, S. H., Ebrahimnejad, A., & Gholami, O. (2016). Fuzzy stochastic input-oriented primal data envelopment analysis models with application to insurance industry. International journal of applied decision sciences, 9(3), 259-282.
[25] Nasseri, S. H., Ebrahimnejad, A., & Gholami, O. (2018). Fuzzy stochastic data envelopment analysis with undesirable outputs and its application to banking industry. International journal of fuzzy systems, 20(2), 534-548.
)