This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …

This chapter provides an all-round picture of the development and advances in the fields of
evolving fuzzy systems (EFS) and evolving neuro-fuzzy systems (ENFS) which have been …

This paper formulates a fuzzy logic neuron that uses n-uninorms to construct uni-
nullneurons. A fuzzy neural network (FNN) composed of these neurons is easy to operate …

Research on predictions of breast cancer grows in the scientific community, providing data
on studies in patient surveys. Predictive models link areas of medicine and artificial …

This paper proposes the definition of the architecture of an evolving fuzzy neural network
based on self-organizing direction aware data partitioning through stochastic processes …

This paper presents a new evolving intelligent model capable of combining the techniques
and concepts of artificial neural networks, fuzzy systems and artificial hydrocarbon networks …

In this research, we introduce a classification procedure based on rule induction and fuzzy
reasoning. The classifier generalizes attribute information to handle uncertainty, which often …

Artificial hydrocarbon networks (AHN)–a supervised learning method inspired on organic
chemical structures and mechanisms–have shown improvements in predictive power and …

This paper proposes the use of fuzzification functions based on clustering of data based on
their density to perform the granularization of the input space. The neurons formed in this …

In recent years, several surveys have been conducted on absenteeism and how this affects
the routine of conducting productive operations in companies. Therefore, having criteria for …