The framework of prevailing Maclaurin symmetric mean (MSM) operator is the modified tool
of the traditional aggregation function is a massive significant and influential, used for …

Bonferroni mean operators based on bipolar complex fuzzy setting and their applications in
multi-attribute decision making Page 1 AIMS Mathematics, 7(9): 17166–17197. DOI …

Interval-valued Pythagorean fuzzy (IVPF) set is one the successful extension of the existing
theories for handling the uncertainties during the decision-making process. Under that …

On the basis of Hamacher operations, in this manuscript, we interpret bipolar complex fuzzy
Hamacher weighted average (BCFHWA) operator, bipolar complex fuzzy Hamacher ordered …

The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation
operator used in modern information fusion theory, which is suitable to aggregate numerical …

The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation
operator used in modern information fusion theory, which is suitable to aggregate numerical …

Bipolar complex fuzzy (BCF) is one of the massive, important, and dominant technique,
which has been used for managing awkward and inconsistent information in genuine life …

This paper contributes to cubic aggregation operator and applications in decision-making
problem. In this paper, we use Dombi operational laws and Heronian mean operators, to …

The Maclaurin symmetric mean (MSM) and dual Maclaurin symmetric mean (DMSM)
operators are two aggregation operators to aggregate the q-rung orthopair fuzzy numbers (q …

The conception of T-spherical fuzzy set (TSFS) is a recent phenomenon in the environment
of fuzzy notions that describe opinion about some certain objects under uncertainties with …