The cosine similarity measure has been widely studied under different information
environments. Generally, average cosine similarity values are used to find the degree of …

In this paper, we give similarity measures between type-2 fuzzy sets and provide the axiom
definition and properties of these measures. For practical use, we show how to compute the …

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 concept of Pythagorean fuzzy sets is very much applicable in decision science because
of its unique nature of indeterminacy. The main feature of Pythagorean fuzzy sets is that it is …

The recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to
describe uncertainty and vagueness, and Hamy mean (HM) has a significant advantage of …

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 …

As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an
important role in handling the uncertainty under the uncertain environments. The …

In this paper, we extend the Hamming distance, the Hausdorff distance with Pythagorean
fuzzy sets (PFSs) to define the generalized Pythagorean fuzzy normalized Hamming …

A q-rung orthopair fuzzy set (q-ROFS), an extension of the Pythagorean fuzzy set (PFS) and
intuitionistic fuzzy set (IFS), is very helpful in representing vague information that occurs in …

In this work, considering the information carried by the membership degree and the non-
membership degree in Atanassov's intuitionistic fuzzy sets (IFSs) as a vector representation …