The applications of clustering in biomedical is pervasive and ubiquitous. A typical example
is gene expression data analysis, where clustering is emerging as a powerful solution for …

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 …

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

Data clustering has emerged as a prospective technique for analyzing interval-valued data
and has found extensive applications across various practical domains. However, the …

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 …

In this paper, we study a distance measure between fuzzy implications. The proposed
distance measure is normalized and, therefore, gives rise to the corresponding similarity …

This paper proposes a new network structure, namely the ProNet network. Retinal medical
image segmentation can help clinical diagnosis of related eye diseases and is essential for …