Maclaurin symmetric means of dual hesitant fuzzy information and their use in multi-criteria decision making

  • Zhiming ZhangEmail author
Original Paper


This paper investigates the Maclaurin symmetric mean (MSM) within the context of dual hesitant fuzzy sets and develops the dual hesitant fuzzy Maclaurin symmetric mean (DHFMSM), which can address the issues in previous dual hesitant fuzzy aggregation operators. Moreover, we put forward the geometric Maclaurin symmetric mean considering both the MSM and the geometric mean and apply it to propose a dual hesitant fuzzy geometric Maclaurin symmetric mean (DHFGMSM), followed by its several properties and special cases. Subsequently, considering the importance of each argument, the weighted DHFMSM and the weighted DHFGMSM are presented and used to develop an algorithm for realistic multi-criteria decision-making problems. Finally, the practicality of the new results is illustrated by a case study, and the advantages of the new results are highlighted by a comparison with other existing methods.





This work was supported by the National Natural Science Foundation of China (No. 61672205), the Scientific Research Project of Department of Education of Hebei Province of China (No. QN2016235), and the Natural Science Foundation of Hebei University (Nos. 799207217073 and 799207217108).

Compliance with ethical standards

Conflict of interest

The author declares that he has no conflict of interest.

Human or animal participants

This article does not contain any studies with human participants or animals performed by any of the authors.


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Authors and Affiliations

  1. 1.College of Mathematics and Information ScienceHebei UniversityBaodingChina

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