Dynamic subgroup-quality-based consensus in managing consistency, nearness, and evenness quality indices for large-scale group decision making under hesitant environment

References

• Ding, R. X., Wang, X. Q., Shang, K., & Herrera, F. (2019). Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation. Information Fusion, 50, 251–272. doi:10.1016/j.inffus.2019.02.004
   Web of Science ®Google Scholar
• Farhadinia, B. (2013). A novel method of ranking hesitant fuzzy values for multiple attribute decision-making problems. International Journal of Intelligent Systems, 28(8), 752–767. doi:10.1002/int.21600
   Web of Science ®Google Scholar
• Herrera-Viedma, E., Cabrerizo, F. J., Kacprzyk, J., & Pedrycz, W. (2014). A review of soft consensus models in a fuzzy environment. Information Fusion, 17, 4–13. doi:10.1016/j.inffus.2013.04.002
   Web of Science ®Google Scholar
• Lahtinen, T. J., Hämäläinen, R. P., & Jenytin, C. (2019). On preference elicitation processes which mitigate the accumulation of biases in multi-criteria decision analysis. European Journal of Operational Research, 282(1), 201–210. doi:10.1016/j.ejor.2019.09.004
   Web of Science ®Google Scholar
• Li, C. C., Dong, Y. C., & Herrera, F. (2019). A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and opposing consensus groups. IEEE Transactions on Fuzzy Systems, 27(2), 221–233. doi:10.1109/TFUZZ.2018.2857720
   Web of Science ®Google Scholar
• Liao, H. C., Xu, Z. S., Zeng, X. J., & Xu, D. L. (2016). An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations. Information Sciences, 329, 274–286. doi:10.1016/j.ins.2015.09.024
   Web of Science ®Google Scholar
• Liu, B. S., Shen, Y. H., Chen, X. H., Chen, Y., & Wang, X. Q. (2014). A partial binary tree DEA-DA cyclic classification model for decision makers in complex multi-attribute large-group interval-valued intuitionistic fuzzy decision-making problems. Information Fusion, 18, 119–130. doi:10.1016/j.inffus.2013.06.004
   Web of Science ®Google Scholar
• Liu, B. S., Zhou, Q., Ding, R. X., Palomares, I., & Herrera, F. (2019). Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination. European Journal of Operational Research, 275(2), 737–754. doi:10.1016/j.ejor.2018.11.075
   Web of Science ®Google Scholar
• Liu, X., Xu, Y. J., Montes, R., Ding, R. X., & Herrera, F. (2019). Alternative ranking-based clustering and reliability index-based consensus reaching process for hesitant fuzzy large scale group decision making. IEEE Transactions on Fuzzy Systems, 27(1), 159–171. doi:10.1109/TFUZZ.2018.2876655
   Web of Science ®Google Scholar
• Liu, Y., Fan, Z. P., & Zhang, X. (2016). A method for large group decision-making based on evaluation information provided by participators from multiple groups. Information Fusion, 29, 132–141. doi:10.1016/j.inffus.2015.08.002
   Web of Science ®Google Scholar
• Ma, Z. Z., Zhu, J. J., Ponnambalam, K., & Zhang, S. T. (2019). A clustering method for large-scale group decision-making with multi-stage hesitant fuzzy linguistic terms. Information Fusion, 50, 231–250. doi:10.1016/j.inffus.2019.02.001
   Web of Science ®Google Scholar
• Mata, F., Martínez, L., & Herrera-Viedma, E. (2009). An adaptive consensus support model for group decision-making problems in a multigranular fuzzy linguistic context. IEEE Transactions on Fuzzy Systems, 17(2), 279–290. doi:10.1109/TFUZZ.2005.856561
   Web of Science ®Google Scholar
• Nosé, S. (1984). A unified formulation of the constant temperature molecular dynamics methods. The Journal of Chemical Physics, 81(1), 511–519. doi:10.1063/1.447334
   Web of Science ®Google Scholar
• Palomares, I., Martínez, L., & Herrera, F. (2014). A consensus model to detect and manage noncooperative behaviors in large-scale group decision making. IEEE Transactions on Fuzzy Systems, 22(3), 516–530. doi:10.1109/TFUZZ.2013.2262769
   Web of Science ®Google Scholar
• Pang, J. F., & Liang, J. Y. (2012). Evaluation of the results of multi-attribute group decision-making with linguistic information. Omega, 40(3), 294–301. doi:10.1016/j.omega.2011.07.006
   Web of Science ®Google Scholar
• Pérez, I. J., Cabrerizo, F. J., Alonso, S., Dong, Y. C., Chiclana, F., & Herrera-Viedma, E. (2018). On dynamic consensus processes in group decision making problems. Information Sciences, 459, 20–35. doi:10.1016/j.ins.2018.05.017
   Web of Science ®Google Scholar
• Pérez, I. J., Cabrerizo, F. J., Alonso, S., & Herrera-Viedma, E. (2014). A new consensus model for group decision making problems with non-homogeneous experts. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(4), 494–498. doi:10.1109/TSMC.2013.2259155
   Web of Science ®Google Scholar
• Rodríguez, A., & Laio, A. (2014). Machine learning. Clustering by fast search and find of density peaks. Science (New York, N.Y.), 344(6191), 1492–1496. doi:10.1126/science.1242072
   PubMed Web of Science ®Google Scholar
• Rodríguez, R. M., Labella, Á., De Tré, G., & Martínez, L. (2018). A large scale consensus reaching process managing group hesitation. Knowledge-Based Systems, 159(2018), 86–97. doi:10.1016/j.knosys.2018.06.009
   Web of Science ®Google Scholar
• Saint, S., & Lawson, J. R. (1994). Rules for reaching consensus: A modern approach to decision making. San Francisco: Jossey-Bass.
   Google Scholar
• Song, Y. M., & Li, G. X. (2019). A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection. Journal of the Operational Research Society, 70(5), 827–841. doi:10.1080/01605682.2018.1458017
   Web of Science ®Google Scholar
• Tang, M., Zhou, X., Liao, H., Xu, J., Fujita, H., & Herrera, F. (2019). Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making. Knowledge-Based Systems, 180, 62–74. doi:10.1016/j.knosys.2019.05.019
   Web of Science ®Google Scholar
• Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25(6), 529–539. doi:10.1002/int.20418
   Web of Science ®Google Scholar
• Wu, Z. B., & Xu, J. P. (2018). A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters. Information Fusion, 41, 217–231. doi:10.1016/j.inffus.2017.09.011
   Web of Science ®Google Scholar
• Xia, M. M., & Xu, Z. S. (2013). Managing hesitant information in GDM problems under fuzzy and multiplicative preference relations. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21(06), 865–897. doi:10.1142/S0218488513500402
   Web of Science ®Google Scholar
• Xu, X. H., Du, Z. J., & Chen, X. H. (2015). Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions. Decision Support Systems, 79, 150–160. doi:10.1016/j.dss.2015.08.009
   Web of Science ®Google Scholar
• Xu, X. H., Zhong, X. Y., Chen, X. H., & Zhou, Y. J. (2015). A dynamical consensus method based on exit–delegation mechanism for large group emergency decision making. Knowledge-Based Systems, 86, 237–249. doi:10.1016/j.knosys.2015.06.006
   Web of Science ®Google Scholar
• Xu, Y. J., Wen, X. W., & Zhang, W. C. (2018). A two-stage consensus method for large-scale multi-attribute group decision making with an application to earthquake shelter selection. Computers & Industrial Engineering, 116, 113–129. doi:10.1016/j.cie.2017.11.025
   Web of Science ®Google Scholar
• Xu, Z. S., & Xia, M. M. (2011). Distance and similarity measures for hesitant fuzzy sets. Information Sciences, 181(11), 2128–2138. doi:10.1016/j.ins.2011.01.028
   Web of Science ®Google Scholar
• Xu, Z. S., & Zhang, X. L. (2013). Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems, 52, 53–64. doi:10.1016/j.knosys.2013.05.011
   Web of Science ®Google Scholar
• Zhu, B., & Xu, Z. S. (2014). Analytic hierarchy process-hesitant group decision making. European Journal of Operational Research, 239(3), 794–801. doi: 10.1016/j.ejor.2014.06.019.
   Google Scholar