Many complex real-world problems have been resolved based on similarity operators under
intuitionistic fuzzy sets (IFSs). Numerous authors have developed intuitionistic fuzzy …

Fermatean fuzzy set (FFS) is an advance variant of fuzzy set applicable in curbing
uncertainties and vagueness in complex decision making scenarios. Correlation coefficient …

Intuitionistic fuzzy set (IFS) is a reliable device for resolving uncertainty and haziness
encountered in decision-making process. In most cases, the significance of IFSs are …

Globally liver diseases are the most life-threatening diseases, and according to global
cancer statistics, liver cancer is the most common. Early detection of liver cancer can prevent …

The idea of q-rung orthopair fuzzy sets (qROFSs) is one of the very few reliable tools in
computational intelligence. qROFS is more appreciated in terms of applications when …

Entropy plays a vital role within fuzzy set theory as it quantifies the level of uncertainty
present in the data. This study proposes a novel entropy measure tailored for Picture Fuzzy …

Decision-making (DM) as a critical aspect of every human endeavor has greatly been
challenged by the presence of uncertainties and imprecisions. Albeit, the concept of …

The innovation process typically follows a predefined sequence of phases: idea generation,
screening, evaluation/selection, development, and launch/diffusion. This process exhibits a …

The idea of Pythagorean fuzzy sets (PFSs) has been extensively applied in various decision-
making scenarios. Many of the applications of PFSs were carried out based on similarity …

Uncertainty in medical diagnosis is the main challenge in medical emergencies (MEs)
experienced by triage nurses and physicians in the emergency department (ED). The …