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 …

Streamflow (Q flow) prediction is one of the essential steps for the reliable and robust water
resources planning and management. It is highly vital for hydropower operation, agricultural …

Fuzzy rough theory can describe real-world situations in a mathematically effective and
interpretable way, while evolutionary neural networks can be utilized to solve complex …

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 a hybrid architecture based on neural networks, fuzzy systems, and n-
uninorms for solving pattern classification problems, termed as ENFS-Uni0 (short for …

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 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 …

Warts and condylomas are benign skin proliferation caused by HPV (human
papillomavirus), which can appear anywhere in the body, including the genital regions. One …