Abstract
Hesitant fuzzy linguistic term sets (HFLTSs) are applied to deal with situations in which people are hesitant in providing linguistic evaluations and have been widely used in qualitative group decision making processes. Considering the fact that the correlation coefficient has been widely used in many research domains, in this paper, we first present a novel correlation coefficient for HFLTSs. The significant features of the proposed correlation coefficient are that the HFLTSs need not to be extended to the same length and the correlation coefficient lies in \([-1,1]\). Two examples are used to illustrate the effectiveness of the proposed correlation coefficient. Secondly, based on the proposed correlation coefficient and the collaborative filtering algorithm, we develop a new method to deal with incomplete hesitant fuzzy linguistic information. Furthermore, by analysing the correlation coefficient matrix, we present a new method for determining experts’ weights based on the concept of ‘attenuation’ and ‘how much trust’ they obtained. At last, a case study is used to evaluate the performance of our method.
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Alonso, S., CHiclana, F., Herrera-Viedma, E., Alcalá-Fdez, J., Porcel, C.: A consistency-based procedure to estimate missing pairwise preference values. Int. J. Intel. Syst., 23, 155-175 (2008)
Chiclana, F., Herrera-Viedma, E., Herrera, F., Alonso, S.: Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations. Eur. J. Oper. Res. 182(1), 382–399 (2007)
Cabrerizo, F.J., Pérez, I.J., Herrera-Viedma, E.: Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information. Knowl. Based Syst. 23(2), 169–181 (2010)
Capuano, N., Chiclana, F., Fujta, H., Herrera-Viedma, E., Loia, V.: Fuzzy group decision making with incomplete information guided by social influence. IEEE Trans. Fuzzy Syst. 26(3), 1704–1718 (2018)
Chen, N., Xu, Z.S., Xia, M.M.: Correlation coefficient of hesitant fuzzy sets and their application to clustering analysis. Appl. Math. Model. 37, 2197–2211 (2013)
Delgado, M., Verdegay, J.L., Vila, M.A.: On aggregation operations of linguistic labels. Int. J. Intell. Syst. 8, 351–370 (1993)
Dong, Y.C., Chen, X., Herrera, F.: Minimizing adjusted simple terms in the consensus reaching process with the hesitant linguistic assessments in group decision making. Inf. Sci. 297, 94–117 (2015)
Dong, Y.C., Zhan, M., Kou, G., Fujita, H., Chiclana, F., Herrera-Viedma, E.: Consensus reaching in social network group decision making: Research paradigms and challenges. Knowl. Based Syst. (2018). https://doi.org/10.1016/j.knosys.2018.06.036
Farhadinia, B.: Multiple criteria decision-making methods with completely unknown weights in hesitant fuzzy linguistic term setting. Knowl. Based Syst. 93, 135–144 (2016)
Gonz\(\acute{a}\)lez-Arteaga, T., Alcantud, J.C.R., de Andr\(\acute{e}\)s Calle, R.: New correlation coefficient for hesitant fuzzy sets, In: Proceedings: 16th World Congress of the International Fuzzy Systems Association(IFSA), Gij\(\acute{o}\)n, Spain, June 30th to July 3rd, 427-434 (2015)
Gupta, M.: Consensus building process in group decision making-an adaptive procedure based on group dynamics. IEEE Trans. Fuzzy Syst. 26(4), 1923–1933 (2018)
Hong, D.H.: Fuzzy measures for a correlation coeffcient of fuzzy mumbers under \(T_{w}\) (the weakest t-norm)-based fuzzy arithmetic operations. Inf. Sci. 176(2), 150–160 (2006)
Herrera-Viedma, E., Chiclana, F., Herrera, F., Alonso, S.: Group Decision-Making model with incomplete fuzzy preference relations based on additive consistency. IEEE Trans. Syst., Man, Cybern., Syst., 37(1), 176-189 (2007)
Hung, W.L., Wu, J.W.: Correlation of intuitionistic fuzzy sets by centroid method. In. Sci. 144, 219–225 (2002)
Jabeur, K., Martel, J.M., Khelifa, S.B.: A distance-based collective preorder integrating the relative importance of the groups members. Group Decision Negot. 13(4), 327–349 (2004)
Konstan, J., Miller, B., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J.: Grouplens: applying collaborative filtering to usenet news. Commun. Acm 40, 77–87 (1997)
Liao, H.C., Xu, Z.S., Zeng, X.J., Merig\(\acute{o}\), J.M.: Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets. Knowl. Based Syst., 76, 127-138 (2015)
Liao, H.C., Wu, X.L., Liang, X.D., Xu, J.P., Herrera, F.: A new hesitant fuzzy linguistic ORESTE method for hybrid multicriteria decision making. IEEE Trans. Fuzzy Syst. 26(6), 3793–3807 (2018)
Liao, H.C., Xu, Z.S., Zeng, X.J.: Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Inf. Sci. 271, 125–142 (2014)
Li, P., Wei, C.P.: An emergency decision-making method based on D-S evidence theory for probabilistic linguistic term sets. Int. J. Disast. Risk Re. 37, 1–10 (2019)
Liu, P.D., Li, Y., Zhang, M.C., Zhang, L., Zhao, J.: Multiple-attribute decision-making method based on hesitant fuzzy linguistic Muirhead mean aggregation operators. Soft Comput. 22(16), 5513–5524 (2018)
Liu, P.D., Wang, P.: Multiple-attribute decision-making based on archimedean bonferroni operators of q-rung orthopair fuzzy numbers. IEEE Trans. Fuzzy Syst. 27(5), 834–848 (2019)
Li, S.L., Wei, C.P.: Modeling the social influence in consensus reaching process with interval fuzzy preference relations. Int. J. Fuzzy Syst. 21(6), 1755–1770 (2019)
Li, S.L., Wei, C.P.: A two-stage dynamic influence model-achieving decision-making consensus within large scale groups operating with incomplete information. Knowl. Based Syst. https://doi.org/10.1016/j.knosys.2019.105132.
Liu, S.T., Kao, C.: Fuzzy measure for correlation coefficient of fuzzy numbers. Fuzzy Sets Syst. 128(2), 267–275 (2002)
Liu, Y.J., Liang, C.Y., Chiclana, F., Wu, J.: A trust induced recommendation mechanism for reaching consensus in group decision making. Knowl. Based Syst. 119, 221–231 (2017)
Meng, F.Y., Chen, X.H.: A new method for group decision making with incomplete fuzzy preference relations. Knowl. Based Syst. 73, 111–123 (2015)
Pang, J.F., Liang, J.Y., Song, P.: An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment. Appl. Soft Comput. 58, 339–353 (2017)
Peng, J.J., Wang, J.Q., Wu, X.H., Zhang, H.Y., Chen, X.H.: The fuzzy cross-entropy for intuitionistic hesitant fuzzy sets and their application in multi-criteria decision-making. Int. J. Syst. Sci. 46(13), 2335–2350 (2014)
Rodgers, J.L., Nicewander, W.A.: Thirteen ways to look at the correlation coefficient. Amer. Stat. 42, 59–66 (1988)
Rodríguez, R.M., Martínez, L., Herrera, F.: Hesitant fuzzy linguistic terms sets for decision making. IEEE Trans. Fuzzy Syst. 20(1), 109–119 (2012)
Tang, M., Liao, H.C.: Managing information measures for hesitant fuzzy linguistic term sets and their applications in designing clustering algorithms. Inf. Fusion 50, 30–42 (2019)
Wang, H., Xu, Z.S.: Interactive algorithm for improving incomplete linguistic preference relations based on consistency measures. Appl. Soft Comput. 42, 66–79 (2016)
Wang, H., Xu, Z.S., Zeng, X.J.: Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges. Inf. Fusion 43, 1–12 (2018)
Wang, Z.J., Li, K.W.: A muti-step goal programming approach for gruop decision making with incomplete interval additive reciprocal comparison matrices. Eur. J. Oper. Res. 242, 890–900 (2015)
Wei, C.P., Zhao, N., Tang, X.J.: Operators and Comparisons of Hesitant fuzzy linguistic terms sets. IEEE Trans. Fuzzy Syst. 22(3), 575–585 (2014)
Wei, C.P., Rodríguez, R.M., Martínez, L.: Uncertainty measures of extended hesitant fuzzy linguistic term sets. IEEE Trans. Fuzzy Syst. 26(3), 1763–1768 (2018)
Wei, C.P., Rodríguez, R.M., Li, P.: Note on entropies of hesitant fuzzy linguistic term sets and their applications. Inf. Sci. https://doi.org/10.1016/j.ins.2019.06.018
Wei, C.P., Ren, Z.L., Rodríguez, R.M.: A Hesitant Fuzzy Linguistic TODIM Method Based on a Score Function. Int. J. Comput. Int. Sys. 8(4), 701–712 (2015)
Wu, J., Chiclana, F., Herrera-Viedma, E.: Trust based consensus model for social network in an incomplete linguistic information context. Appl. Soft Comput. 35, 827–839 (2015)
Wu, J., Chiclana, F., Herrera-Viedma, E.: A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust. Inf. Fusion 41, 232–242 (2018)
Wu, J., Chang, J.L., Cao, Q.W., Liang, C.Y.: A trust propagation and collaborative fitering based method for incomplete information in social network group decision making with type-2 linguistic. Comput. Ind. Eng. 127, 853–864 (2019)
Wu, Z.B., Xu, J.P.: A consistency and consensus based decision support model for group decision making with multiplicative preference relations. Decis. Support Syst. 52(3), 757–767 (2012)
Xiao, F.Y., Zhang, Z.L., Abawajy, J.: Workflow scheduling in distributed systems under fuzzy enviroment. J. Intel. Fuzzy Syst. 37, 5323–5333 (2019)
Xiao, F.Y.: EFMCDM: Evidential fuzzy multicriteria decision making based on belief entropy. IEEE Trans. Fuzzy Syst. (2019). https://doi.org/10.1109/tfuzz.2019.2936368
Xu, Y.J., Xu, A.W., Merigó, J.M., Wang, H.M.: Hesitant fuzzy linguistic ordered weighted distance operators for group decision making. J. Appl. Math. Comput. 29(1–2), 285–308 (2015)
Xu, Z.S.: A method based on linguistic aggregation operators for group decision making with linguistic preference relations. Inf. Sci. 166, 19–30 (2004)
Xu, Z.S.: Distance and similarity measures for hesitant fuzzy sets. Inf. Sci. 181(11), 2128–2138 (2011)
Xu, Z.S.: On correlation measures of intuitionistic fuzzy sets. Lec. Notes Comput. Sc. 4224, 16–24 (2006)
Xu, Z.S., Xia, M.M.: On distance and correlation measures of hesitant fuzzy information. Int. J. Intel. Syst. 26, 410–425 (2011)
Xu, Z.S.: Deviation measures of linguistic preference relations in group decision problems under linguistic information. Omega 33(3), 249–254 (2014)
Xu, Z.S.: Group decision making based on multiple types of linguistic preference relations. Inf. Sci. 178(2), 452–467 (2008)
Yu, C.H.: Correlation of fuzzy number. Fuzzy Sets Syst. 55(3), 303–307 (1993)
Yu, G.F., Fei, W., Li, D.F.: A compromise-typed variable weight decision method for hybrid multi-attribute group decision making. IEEE Trans. Fuzzy Syst. 27(5), 861–872 (2019)
Yu, G.F., Li, D.F., Fei, W.: A novel method for heterogeneous multi-attribute group decision making with preference deviation. Comput. Ind. Eng. 124, 58–64 (2018)
Q.B. Zha, Y.C. Dong, H.J. Zhang, F. Chiclana, E. Herrera-Viedma. A personalized feedback mechanism based on bounded confidence learning to support consensus reaching in group decision making. IEEE Trans. Syst., Man, Cybern., Syst. 2019, DOI: https://doi.org/10.1109/TSMC.2019.2945922.
Zhang, Z., Guo, C.H., Martínez, L.: Managing multigranular linguistic distribution assessments in large-scale multiattribute group decison making. IEEE Trans. Syst., Man, Cybern., Syst., 47(11), 3063-3076 (2017)
Zhang, Z.M., Wu, C.: Hesitant fuzzy linguistic aggregation operators and their applications to multiple attribute group decision making. J. Intell. Fuzzy Sys. 26(5), 2185–2202 (2014)
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The authors thank the editors and the anonymous reviewers for their helpful comments and suggestions that have led to this improved version of the paper. The research described in this paper is supported by National Natural Science Foundation of China under Grants 71971190, 71702087.
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Li, S., Wei, C. Hesitant fuzzy linguistic correlation coefficient and its applications in group decision making . Int. J. Fuzzy Syst. 22, 1748–1759 (2020). https://doi.org/10.1007/s40815-020-00876-z
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DOI: https://doi.org/10.1007/s40815-020-00876-z