Personalized fuzzy semantic model of PHFLTS: Application to linguistic group decision making

Thomas, 1963, Effects of group size, Psychol. Bull., 60, 371, 10.1037/h0047169 Chen, 2023, Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry., Inf. Fusion, 97, 10.1016/j.inffus.2023.101803 Chen, 2023, Multi-objective optimization-based collective opinion generation with fairness concern, IEEE Trans. Syst. Man Cybern. Syst., 10.1109/TSMC.2023.3273715 Escobar, 2015, Some extensions of the precise consistency consensus matrix, Decis. Support Syst., 74, 67, 10.1016/j.dss.2015.04.005 Xiao, 2020, Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making, Inf. Fusion, 53, 20, 10.1016/j.inffus.2019.06.003 Mendel, 2010 Morente-Molinera, 2015, On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends, Knowl.-Based Syst., 74, 49, 10.1016/j.knosys.2014.11.001 Zhang, 2017, Managing multigranular linguistic distribution assessments in large-scale multiattribute group decision making, IEEE Trans. Syst. Man Cybern. Syst., 47, 3063, 10.1109/TSMC.2016.2560521 Porro, 2021, Perceptual maps to aggregate information from decision makers, 37 Li, 2017, Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching, Inf. Fusion, 33, 29, 10.1016/j.inffus.2016.04.005 Li, 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 Trans. Fuzzy Syst., 27, 221, 10.1109/TFUZZ.2018.2857720 Herrera, 2000, A 2-tuple fuzzy linguistic representation model for computing with words, IEEE Trans. Fuzzy Syst., 8, 746, 10.1109/91.890332 Li, 2018, Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions, Knowl.-Based Syst., 145, 156, 10.1016/j.knosys.2018.01.011 Dong, 2018 Zhang, 2021, Modeling personalized individual semantics and consensus in comparative linguistic expression preference relations with self-confidence: An optimization-based approach, IEEE Trans. Fuzzy Syst., 29, 627, 10.1109/TFUZZ.2019.2957259 Zhang, 2020, Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information, IISE Trans., 52, 1275, 10.1080/24725854.2020.1731774 Tang, 2020, Distribution linguistic preference relations with incomplete symbolic proportions for group decision making, Appl. Soft Comput., 88, 10.1016/j.asoc.2019.106005 Li, 2021, Managing ignorance elements and personalized individual semantics under incomplete linguistic distribution context in group decision making, Group Decis. Negot., 30, 97, 10.1007/s10726-020-09708-9 Li, 2022, Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making, Omega, 111, 10.1016/j.omega.2022.102642 Tang, 2019, Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach, Neural. Comput. Appl., 31, 8769, 10.1007/s00521-019-04466-5 Gao, 2022, Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making, J. Oper. Res. Soc., 73, 2518, 10.1080/01605682.2021.1997654 Li, 2022, Integrating continual personalized individual semantics learning in consensus reaching in linguistic group decision making, IEEE Trans. Syst. Man Cybern. Syst., 52, 1525, 10.1109/TSMC.2020.3031086 Dong, 2023, Personalized-individual-semantics learning to support large-scale linguistic consensus process, ACM Trans. Internet Technol., 23, 1 Chen, 2021, A random intuitionistic fuzzy factor analysis model for complex multi-attribute large group decision-making in dynamic environments, Fuzzy Optim. Decis. Mak., 20, 101, 10.1007/s10700-020-09334-9 Liu, 2019, An optimization-based formulation for three-way decisions, Inform. Sci., 495, 185, 10.1016/j.ins.2019.05.010 Xu, 2008, Multi-objective decision making model under fuzzy random environment and its application to inventory problems, Inform. Sci., 178 Rodríguez, 2012, Hesitant fuzzy linguistic term sets for decision making, IEEE Trans. Fuzzy Syst., 20, 109, 10.1109/TFUZZ.2011.2170076 Liu, 2014, A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making, Inform. Sci., 258, 220, 10.1016/j.ins.2013.07.027 Wang, 2015, Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making, Int. J. Comput. Intell. Syst., 8, 14 Liu, 2022, Interval type-2 fuzzy envelope of proportional hesitant fuzzy linguistic term set: Application to large-scale group decision making, Mathematics, 10, 2368, 10.3390/math10142368 Rodríguez, 2013, A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets, Inform. Sci., 241, 28, 10.1016/j.ins.2013.04.006 Wei, 2014, Operators and comparisons of hesitant fuzzy linguistic term sets, IEEE Trans. Fuzzy Syst., 22, 575, 10.1109/TFUZZ.2013.2269144 Wu, 2016, Possibility distribution-based approach for MAGDM with hesitant fuzzy linguistic information, IEEE Trans. Cybern., 46, 694, 10.1109/TCYB.2015.2413894 Wu, 2016, Managing consistency and consensus in group decision making with hesitant fuzzy linguistic preference relations, Omega, 65, 28, 10.1016/j.omega.2015.12.005 Zhang, 2014, Consistency and consensus measures for linguistic preference relations based on distribution assessments, Inf. Fusion, 17, 46, 10.1016/j.inffus.2012.01.006 Chen, 2016, Proportional hesitant fuzzy linguistic term set for multiple criteria group decision making, Inform. Sci., 357, 61, 10.1016/j.ins.2016.04.006 Wu, 2021, Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence, Inf. Fusion, 65, 165, 10.1016/j.inffus.2020.08.018 Chen, 2022, Expertise-structure and risk-appetite-integrated two-tiered collective opinion generation framework for large-scale group decision making, IEEE Trans. Fuzzy Syst., 30, 5496, 10.1109/TFUZZ.2022.3179594 Dong, 2009, Computing the numerical scale of the linguistic term set for the 2-tuple fuzzy linguistic representation model, IEEE Trans. Fuzzy Syst., 17, 1366, 10.1109/TFUZZ.2009.2032172 Li, 2019, An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions, Inf. Fusion, 52, 143, 10.1016/j.inffus.2018.12.004 Xu, 2018, The additive consistency measure of fuzzy reciprocal preference relations, Int. J. Mach. Learn. Cybern., 9, 1141, 10.1007/s13042-017-0637-0 Nurmi, 1981, Approaches to collective decision making with fuzzy preference relations, Fuzzy Sets and Systems, 6, 249, 10.1016/0165-0114(81)90003-8 Alonso, 2008, A consistency-based procedure to estimate missing pairwise preference values, Int. J. Intell. Syst., 23, 155, 10.1002/int.20262 Herrera-Viedma, 2007, Group decision-making model with incomplete fuzzy preference relations based on additive consistency, IEEE Trans. Syst. Man Cybern. Part B (Cybernetics), 37, 176, 10.1109/TSMCB.2006.875872 Zhang, 2018, Additive consistency analysis and improvement for hesitant fuzzy preference relations, Expert Syst. Appl., 98, 118, 10.1016/j.eswa.2018.01.016 Zhang, 2022, Personalized individual semantics-based consistency control and consensus reaching in linguistic group decision making, IEEE Trans. Syst. Man Cybern. Syst., 52, 5623, 10.1109/TSMC.2021.3129510 Delgado, 1998, Combining numerical and linguistic information in group decision making, Inform. Sci., 107, 177, 10.1016/S0020-0255(97)10044-5 Rodríguez, 2013, A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets, Inform. Sci., 241, 28, 10.1016/j.ins.2013.04.006 Wang, 2017, A group decision method based on prospect theory for emergency situations, Inform. Sci., 418, 119, 10.1016/j.ins.2017.07.037 Abbasbandy, 2009, A new approach for ranking of trapezoidal fuzzy numbers, Comput. Math. Appl., 57, 413, 10.1016/j.camwa.2008.10.090 Ruspini, 1969, A new approach to clustering, Inf. Control, 15, 22, 10.1016/S0019-9958(69)90591-9 Liang, 2019, A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making, Int. J. Disaster Risk Reduct., 36, 10.1016/j.ijdrr.2019.101081