Type-2 fuzzy neural networks (T2FNNs) have gained popularity due to their processing
ability for high uncertainty. However, concerned with the high-dimensional problems of …

This paper proposes a vectorization-optimization-method (VOM)-based type-2 fuzzy neural
network (VOM2FNN) for noisy data classification. In handling problems with uncertainties …

Interval type-2 fuzzy neural networks (IT2FNNs) usually stack adequate fuzzy rules to
identify nonlinear systems with high-dimensional inputs, which may result in an explosion of …

Current studies of type-2 neural fuzzy systems (FSs)(NFSs) primarily focus on building a
fuzzy model with high accuracy and disregard the interpretability of fuzzy rules. This paper …

This paper first proposes a type-2 neural fuzzy system (NFS) learned through its type-1
counterpart (T2NFS-T1) and then implements the built IT2NFS-T1 in a field-programmable …

Type-2 fuzzy logic system (FLS) cascaded with neural network, type-2 fuzzy neural network
(T2FNN), is presented in this paper to handle uncertainty with dynamical optimal learning. A …

This paper proposes a novel algorithm twice optimization for interval type-2 fuzzy neural
networks with asymmetric membership functions (TOIT2FNN-AMF), for nonlinear system …

In many engineering problems, the systems dynamics are uncertain, and then, the accurate
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …

In the paper, trapezoidal type-2 fuzzy inference system (TT2FIS) is introduced. To construct
the type-2 fuzzy inference system, trapezoidal type-2 fuzzy sets are adopted to construct the …

A new type of fuzzy membership function (FMF) is proposed for interval type-2 fuzzy neural
network (IT2FNN) in this paper. Three types of interval type-2 FMF (IT2FMF) can be derived …