Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with Applications, 39(9), 7961–7967.
Baležentis, T., & Zeng, S. (2013). Group multi-criteria decision making based upon interval-valued fuzzy numbers: An extension of the MULTIMOORA method. Expert Systems with Applications, 40(2), 543–550.
Brauers, W. K., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35, 445–469.
Brauers, W. K., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Ukio Technologinis Ir Ekonominis Vystymas, 16(1), 5–24.
Cakravastia, A., & Takahashi, K. (2004). Integrated model for supplier selection and negotiation in a make-to-order environment. International Journal of Production Research, 42(21), 4457–4474.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289–301.
Degraeve, Z., & Roodhooft, F. (1999). Effectively selecting suppliers using total cost of ownership. Journal of Supply Chain Management, 35(4), 5–10.
Demirtas, E. A., & Üstün, Ö. (2008). An integrated multiobjective decision making process for supplier selection and order allocation. Omega, 36(1), 76–90.
Deng, X., Hu, Y., Deng, Y., & Mahadevan, S. (2014). Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications, 41(1), 156–167.
Gou, X., Liao, H., Xu, Z., & Herrera, F. (2017). Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Information Fusion, 38, 22–34.
Guo, C., & Li, X. (2014). A multi-echelon inventory system with supplier selection and order allocation under stochastic demand. International Journal of Production Economics, 151, 37–47.
Kang, B., Wei, D., Li, Y., & Deng, Y. (2012). A method of converting Z-number to classical fuzzy number. Journal of Information and Computational Science, 9(3), 703–709.
Karlin, S. J., & Studden, W. J. (1967). Tchebycheff systems: With applications in analysis and statistics. Journal of the American Statistical Association, 62(319), 1093.
Kidd, J., Keeney, R. L., & Raiffa, H. (1977). Decisions with multiple objectives—preferences and value tradeoffs. Operational Research Quarterly, 28(3), 602.
Liu, P., Gao, H., & Fujita, H. (2020). The new extension of the MULTIMOORA method for sustainable supplier selection with intuitionistic linguistic rough numbers. Applied Soft Computing, 99, 106893.
Mi, X., Liao, H., Liao, Y., Lin, Q., & Al-Barakati, A. (2020). Green suppler selection by an integrated method with stochastic acceptability analysis and MULTIMOORA. Technological and Economic Development of Economy, 26(3), 549–572.
Wan, S. P., & Dong, J. Y. (2015). Power geometric operators of trapezoidal intuitionistic fuzzy numbers and application to multi-attribute group decision making. Applied Soft Computing, 29, 153–168.
Wang, J. Q., Cao, Y. X., & Zhang, H. Y. (2017). Multi-criteria decision-making method based on distance measure and Choquet integral for linguistic Z-numbers. Cognitive Computation, 9(6), 827–842.
Wang, J. Q., Wu, J. T., Wang, J., Zhang, H. Y., & Chen, X. H. (2014). Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems. Information Sciences, 288, 55–72.
Wang, X., Gou, X., & Xu, Z. (2019). Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment. Applied Soft Computing, 86, 105864.
Wang, Y., Tian, L., & Wu, Z. (2020). Trust modeling based on probabilistic linguistic term sets and the MULTIMOORA method. Expert Systems with Applications, 165, 113817.
Xian, S., Liu, Z., Gou, X., & Wan, W. (2020). Interval 2-tuple pythagorean fuzzy linguistic MULTIMOORA method with CIA and their application to MCGDM. International Journal of Intelligent Systems, 35(4), 650–681.
Yeh, W. C., & Chuang, M. C. (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications, 38(4), 4244–4253.
Yuan, Y., Xu, Z., & Zhang, Y. (2022). The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in third party logistics provider selection. Fuzzy Optimization and Decision Making, 21(1), 137–156.
Zadeh, L. A. (2011). A note on Z-numbers. Information Sciences, 181(14), 2923–2932.