The intuitionistic fuzzy soft set (IFSS) is a vital technique for tackling uncertainty while the
collection of information with the help of the membership function having values from unit …

This paper investigates the convergence of risk, sustainability, and supply chain in space
missions, including a review of fundamental concepts, the introduction of a multi-objective …

The primary objective of this research article is to present two novel tactical approaches, 2-
tuple linguistic Fermatean fuzzy TOPSIS (2TLFF-TOPSIS) and 2-tuple linguistic Fermatean …

Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in
addressing uncertainty across diverse domains. Despite its recognized utility in managing …

Entropy is regarded as a numerical representation of the degree of uncertainty concerning a
random variable. However, the knowledge associated with any fuzzy set is quantified by a …

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 …

Rough set theory (RST) is a common and effective tool for data processing. In order to
extend the range of data that RST and its related theories can handle, scholars have …

To deal with situations involving uncertainty, Fermatean fuzzy sets are more effective than
Pythagorean fuzzy sets, intuitionistic fuzzy sets, and fuzzy sets. Applications for fuzzy …

This paper introduces a novel multiattribute group decision making (MAGDM) method under
the linguistic q-rung orthopair fuzzy (Lq-ROF) environment based on the proposed Lq-ROF …

Hospital performance evaluation is vital for effective hospital management as it provides
valuable information about a hospital's condition and enables adaptable implementation …