[1] Akram, M., & Adeel, A. TOPSIS approach for MAGDM based on interval-valued hesitant fuzzy N-soft environment. International Journal of Fuzzy Systems. (2019) 21(3), 993-1009.
[2] Ding, Z., & Wu, Y. An improved interval-valued hesitant fuzzy multi-criteria group decision-making method and applications. Mathematical and Computational Applications (2016) 21(2), 2-34.
[3] Farhadinia, B., Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets. Inf. Sci. (2013) 240, 129-144.
[4] Farhadinia, B., Distance and similarity measures for higher order hesitant fuzzy sets. Knowl.-Based Syst. (2014) 55, 43–48.
[5] Farhadinia, B., Correlation for dual hesitant fuzzy sets and dual interval-valued hesitant fuzzy sets. Int. J. Intell. Syst. (2014) 29, 184–205.
[6] Gitinavard, Hossein, S. Meysam Mousavi, and Behnam Vahdani. Soft computing-based new interval-valued hesitant fuzzy multi-criteria group assessment method with last aggregation to industrial decision problems. Soft Computing (2017) 21(12), 3247-3265.
[7] Garg, Harish, and Gagandeep Kaur. Algorithm for probabilistic dual hesitant fuzzy multi-criteria decision-making based on aggregation operators with new distance measures. Mathematics (2018) 6(12), 280-295.
[8] Joshi, D., & Kumar, S. Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making. European Journal of Operational Research (2016) 248(1), 183-191.
[9] Liao, H.C., Xu, Z.C., Xia, M.M., Multiplicative consistency of hesitant fuzzy preference relation and its application in group decision making, Int. J. Inform. Technol. Decis. Mak. (2014) 13, 47-76.
[10] Liao, H.C., Xu, Z.C., Xia, M.M., Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making, Inform. Sci. (2014) 271, 125–142.
[11] Mei, Ye, Juanjuan Peng, and Junjie Yang. "Convex aggregation operators and their applications to multi-hesitant fuzzy multi-criteria decision-making.” Information (2018) 9(9), 207-217.
[12] Meng, F.Y., Chen, X.H., Zhang, Q. Multi-attribute decision analysis under a linguistic hesitant fuzzy environment, Inform. Sci. (2014) 267, 287–305.
[13] Peng, d.h., Gao, C.Y., Gao, Z.F., Generalized hesitant fuzzy synergetic weighted distance measures and their application to multiple criteria decision making, Appl. Math. Model. (2013) 37, 5837–5850.
[14] Qian, G., Wang, H., Feng, X., Generalized hesitant fuzzy sets and their application in decision support system, Knowl.-Based Syst. (2013) 37, 357-365.
[15] Rodrguez, R.M., Martinez, L., Herrera, F., Hesitant fuzzy linguistic term sets for decision making, IEEE Trans. Fuzzy Syst. (2012) 20, 109–119.
[16] Rodrguez, R.M., Martinez, L., Herrera, F., A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets, Inform. Sci. (2013) 241, 28-42.
[17] Rodriguez, R.M., Martinez, L., Torra, V., Xu, Z.S., Herrera, F.:Hesitant fuzzy sets: state of the art and future directions. Int. J. Intell. Syst. (2014) 29, 495–524.
[18] Torra, V., Hesitant fuzzy sets. Int. J. Intell. Syst. (2010), 25, 529–539.
[19] Torra, V., Narukawa, Y., On hesitant fuzzy sets and decision. In: The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Kerea (2009), 1378–1382.
[20] Wu, Z., Xu, J., Jiang, X., & Zhong, L. Two MAGDM models based on hesitant fuzzy linguistic term sets with possibility distributions: VIKOR and TOPSIS. Information Sciences. (2019) 473, 101-120.
[21] Xu, Z.S., Xia, M.M., On distance and correlation measures of hesitant fuzzy information. Int. J. Intell. Syst. (2011) 26, 410–425.
[22] Xu, Z.S., Xia, M.M., Distance and similarity measures for hesitant fuzzy sets. Inf. Sci. (2011) 181, 2128-2138.
[23] Zadeh, L.A. Fuzzy sets. Inf. Control (1965), 8, 338–353.
[24] Zhang, Zhiming. Hesitant fuzzy multi-criteria group decision making with unknown weight information. International Journal of Fuzzy Systems, (2017) 19(3), 615-636.
[25] Zhou, Huan, et al. Linguistic hesitant fuzzy multi-criteria decision-making method based on evidential reasoning. International Journal of Systems Science (2016) 47(2), 314-327.
[26] B. O'Neill, Semi-Riemannian geometry, Academic Press, 1986.
[27] J. Oprea, Differential geometry and its applications, Prentice Hall, second ed., 2004.
)
