**7. Conclusions**

This paper investigates the information aggregation problem of MCDM problems in which the value of the criterion is expressed with HFLEs. Inspired by the idea of Hamacher t-norm and t-conorm, we defined some new basic operational laws on HFLEs based on the Hamacher t-norm and t-conorm. Then, based on these operational laws, we present several hesitant fuzzy linguistic Hamacher aggregation operators which are more general and flexible aggregation operators, including the HFLHWA, HFLHWG, GHFLHWA, GHFLHWG, HFLHPWA, HFLHPWG, GHFLHPWA, and GHFLHPWG operators. We also discuss some special cases of these operators and explore some of their desirable properties. Further, we propose two methods based on the GHFLHWA, GHFLHWG, GHFLHPWA, and GHFLHPWG operators to deal with the MCDM problem with HFLE information. Ultimately, a numerical example is provided to demonstrate the process of the developed methodology, and the influence of distinct parameters *υ* on the score function of the alternative is discussed. In the future, we will extend the presented operators to other uncertain environments and apply these operators to other fields, such as supply chain management, risk management, and fuzzy cluster analysis.

**Author Contributions:** Conceptualization, J.Z. and Y.L; Methodology, J.Z.; Formal Analysis, J.Z.; Data Curation, J.Z.; Writing-Original Draft Preparation, J.Z.; Writing-Review & Editing, J.Z. and Y.L.; Visualization, J.Z.; Supervision, Y.L.

**Funding:** This research was funded by National Natural Science Foundation of China (No. 71371156) the Doctoral Innovation Fund Program of Southwest Jiaotong University (D-CX201729).

**Conflicts of Interest:** The authors declare no conflict of interest.
