Road traffic accidents (RTAs) pose a significant hazard to the security of the general public,
especially in developing nations. A daily average of more than three thousand fatalities is …

Fermatean fuzzy set (FFS) is a more efficient, flexible, and generalized model to deal with
uncertainty, as compared to intuitionistic and Pythagorean fuzzy models. This research …

Real-world decision-making challenges tend to evolve into more intricate scenarios over
time. In this context, the Fermatean fuzzy set emerges as an efficient and convenient …

This research article is devoted to establish some general aggregation operators, based on
Yager'st‐norm and t‐conorm, to cumulate the Fermatean fuzzy data in decision‐making …

Practitioners and decision-makers often face difficulties in selecting and prioritizing effective
strategies to address challenges to sustainable urban transportation development. Although …

Fermatean fuzzy set (FRFS) is very helpful in representing vague information that occurs in
real world circumstances. Their eminent characteristic of FRFS is that the degree of …

The decision-making (DM) processes used by autonomous vehicle driving systems are
separate from those of the users, allowing them to oversee and regulate the operations of …

The statistics pertaining to accidents occurring at construction sites underscore the pressing
requirement for a substantial and timely reevaluation of safety measures within the …

Fermatean fuzzy numbers (FrFNs) have demonstrated sig nificant utility in real-world
scenarios for handling uncer tain data. In this study, we focus on multi-criteria decision …

The intuitionistic fuzzy set, briefly as; IFS and its extension involving Pythagorean fuzzy set
(PFS) and Fermatean fuzzy set (FFS), are all effective tools to express uncertain and …