In 2013, Barrenechea et al. used the Choquet integral as an aggregation function in the
fuzzy reasoning method (FRM) of fuzzy rule-based classification systems. After that, starting …

As a generalization of bivariate overlap functions, which measure the degree of overlap**
(intersection for non-crisp sets) of n different classes, in this paper we introduce the concept …

A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning
method (FRM) since it infers the class predicted for new examples. A crucial stage in any …

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 …

Brain-computer interface technologies, such as steady-state visually evoked potential, P300,
and motor imagery are methods of communication between the human brain and the …

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 …

This paper introduces the theoretical framework for a generalization of CF 1 F 2-integrals, a
family of Choquet-like integrals used successfully in the aggregation process of the fuzzy …

The paper introduces a new class of functions from [0, 1] n to [0, n] called d-Choquet
integrals. These functions are a generalization of the “standard” Choquet integral obtained …

Overlap and grou** functions are special kinds of non necessarily associative
aggregation operators proposed for many applications, mainly when the associativity …