Inspired by the life philosophy, an ingenious gate (membership) function, which can mimic
the open and close of the gate in the real world, is proposed to realize feature selection (FS) …

This paper suggests Takagi-Sugeno-Kang (TSK) fuzzy models that characterize the position
of Shape Memory Alloy (SMA) wire actuators. The systems dynamics are important because …

Multi-layer perceptrons (MLPs) rank among the most popular and widely employed
intelligent approaches for approximating the relationships between dependent and …

Time series forecasting has wide applications in our daily lives, such as meteorological
warnings and decision-making. However, traditional supervised models do not perform well …

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 …

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 …

Fuzzy neural networks (FNNs) integrating the advantages of fuzzy systems and neural
networks are useful techniques for nonlinear system modeling. However, how to determine …

Interpretability in intelligent models becomes a challenge in academic research and
approaches that facilitate understanding the responses obtained in models based on …

Data stream classification processes with neuro-fuzzy approaches may involve situations
where uncertainties arise, which may directly interfere with the quality of the results of the …

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 …