In this paper, the novel approach of complex T-spherical fuzzy sets (CTSFSs) and their
operational laws are explored and also verified with the help of examples. CTSFS composes …

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 …

Intuitionistic hesitant fuzzy set (IHFS) is a mixture of two separated notions called
intuitionistic fuzzy set (IFS) and hesitant fuzzy set (HFS), as an important technique to cope …

In this manuscript, spherical fuzzy set (SFS) and T-spherical fuzzy set (TSFS) are discussed,
which are two generalizations of fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean …

Fuzzy set (FS) theory is one of the most important tool to deasl with complicated and difficult
information in real-world. Now FS has many extensions and hesitant fuzzy set (HFS) is one …

A hesitant fuzzy (HF) set is an extension of the fuzzy sets and a T-spherical fuzzy set (T-SFS)
is a generalization of the spherical fuzzy set (SFS). HF set has a significant role for modelling …

Spherical fuzzy set (SFS) is a modified version of fuzzy set (FS) to cope with uncertainty and
complicated data in real-decision theory. In this article, some similarity measures, called …

Complex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving
two-dimensional information. Recently, the extensions of CFSs have gained the attention of …

The fuzzy set (FS) theory has a significant role in the modelling of uncertainties. However,
using the fuzzy set remain incapable in the modelling of the problems, when the decision …

In this manuscript, nine similarity measures of T-spherical fuzzy set (TSFS) considering the
membership degree, the hesitancy degree, the non-membership degree and the refusal …