The distance and similarity measures are two interrelated information measures that can be
effectively used to quantify the degree of deviation and degree of similarity between the …

Fermatean fuzzy sets are more powerful than fuzzy sets, intuitionistic fuzzy sets, and
Pythagorean fuzzy sets in handling various problems involving uncertainty. The distance …

In various real-world scenarios, Fermatean fuzzy sets are commonly used to address fuzzy
and uncertain challenges. The degree of similarity between Fermatean fuzzy sets is …

The Pythagorean fuzzy sets are more robust than fuzzy sets and intuitionistic fuzzy sets in
dealing with the problems involving uncertainty. To compare two Pythagorean fuzzy sets …

Fuzzy entropy concerning a fuzzy set computes the imprecision content of that set whereas
the content of precision is evaluated by using the notion of fuzzy knowledge measure. In this …

Correlation provides a relationship between two quantities with the help of certain statistical
data. It shows the strength of the relationship amongst different alternatives. q-rung orthopair …

In a number of fuzzy systems, knowledge measures have been extensively investigated.
However, no research on knowledge measures derived from divergence for standard fuzzy …

Multiploar information plays a vital role in making reliable decisions in one's daily life
encompassing micro-to large-scale decisions. These decision-making problems often …

Interval‐valued hesitant fuzzy sets (IVHFS), as a kind of decision information presenting tool
which is more complicated and more scientific and more elastic, have an important practical …

Current research has demonstrated that fuzzy sets can be used to address forecasting
issues. Researchers have created numerous fuzzy time series approaches without …