Overlap functions are aggregation functions that express the overlap** degree between
two values. They have been used both as a conjunction in several practical problems (eg …

Brain–computer interface (BCI) technologies are popular methods of communication
between the human brain and external devices. One of the most popular approaches to BCI …

A common approach to constructing fuzzy rough sets (FRSs) is using t-norms. Furthermore,
establishing multi-granulation fuzzy rough sets (MGFRSs) is also usually undertaken by …

Class overlap in imbalanced datasets is the most common challenging situation for
researchers in the fields of deep learning (DL) machine learning (ML), and big data (BD) …

Recently, Paiva et al. introduced the concepts of lattice-valued overlap and quasi-overlap
functions, and showed the migrativity, homogeneity and other properties of (quasi-) overlap …

As an important class of aggregation operators, the notion of overlap functions was first
presented in 2009 in order to be considered for applications in image processing context …

Fuzzy or neuro-fuzzy systems have been successfully employed in many areas, but their
limitation in solving high-dimensional problems remains a challenging task. On the other …

Overlap functions are a type of aggregation functions that are not required to be associative,
generally used to indicate the overlap** degree between two values. They have been …

Three-way decision (TWD) and prospect theory (PT) are efficacious theories for investigating
uncertain problems. TWD can mitigate the risks associated with rapid decision-making in …

In the last past years, as a class of continuous binary aggregation functions, there are many
scholars kee** a watchful focus on overlap functions for their widely applicability in …