Fermatean fuzzy sets (FFSs) have emerged as a powerful tool for handling uncertain
information and have been successfully applied in various domains. However, the existing …

It remains challenging in characterizing uncertain and imprecise information when clustering
fuzzy number data. To solve such a problem, this paper investigates a new credal-based …

Dempster-Shafer theory (DST) has attracted wide attention in many fields thanks to its strong
advantages over probability theory. Whereas the uncertainty measure of basic belief …

It remains challenging in managing uncertain and imprecise information in multisensor data
fusion. Dempster–Shafer evidence theory (DSET), which has a strong appeal for modeling …

Dempster-Shafer evidence theory (DSET) has a wide and important application in
information fusion. However, when the pieces of evidence are highly conflicting, Dempster's …

Fermatean fuzzy sets (FFSs), as one of the representative variants of fuzzy sets, have broad
application prospects. FFSs have advantages in modeling uncertain information and …

Picture fuzzy sets (PFSs) are a versatile generalization of fuzzy sets and intuitionistic fuzzy
sets (IFSs), providing a robust framework for modeling imprecise, uncertain, and inconsistent …

Pythagorean fuzzy sets (PFSs) are a versatile tool for handling uncertain problems and have
proven effective in practical applications. However, many existing Pythagorean fuzzy …

Picture fuzzy sets (PFSs), as a generalization of traditional fuzzy sets and intuitionistic fuzzy
sets (IFSs), offer a powerful framework for modeling and dealing with imprecise and …

Autism Spectrum Disorder (ASD) presents significant diagnostic challenges due to its
complex, heterogeneous nature. This study explores a novel approach to enhance the …