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 …

In recent years, fossil fuel resources have become increasingly rare and caused a variety of
problems, with a global impact on economy, society and environment. To tackle this …

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 …

The T-spherical uncertain linguistic (TSUL) sets (TSULSs) integrated by T-spherical fuzzy
sets and uncertain linguistic variables are introduced in this article. This new concept is not …

Metal-organic frameworks (MOFs) are hybrid materials composed of both organic and
inorganic elements. MOF materials, because of their unique structures and properties, such …

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 …

T-spherical fuzzy set is an effective tool to deal with vagueness and uncertainty in real-life
problems, especially in a situation when there are more than two circumstances, like in …

Aggregation operators (AOs) are well-known and efficient mathematical tools that are
utilized to overcome the impact of imprecise and vague information during the aggregation …

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 …

Determining the right merger strategy for banks is an important step. In this way, risks can be
managed more effectively, and long-term financial performance can be achieved. However …