Picture fuzzy sets (PFSs) with four dimensions of positive, neutral, negative, and rejection
have more advantages in representing and evaluating ambiguous information than …

Fuzzy neural network (FNN) is regarded as a prominent approach in application of time-
series modeling. With the capability of fuzzy reasoning, FNN can capture temporal patterns …

Abnormal electricity consumption behavior not only affects the safety of power supply but
also damages the infrastructure of the power system, posing a threat to the secure and …

The model bias caused by input outliers is a dramatic obstacle to the application of models
in industrial processes. To cope with this problem, this article proposes a robust modeling …

This article aims to create an intelligent control system to alter the inherent nonlinear and
time-varying control characteristics of a nonlinear time-varying system by using an intelligent …

Time series forecasting is an essential and challenging task, especially for large-scale time-
series (LSTS) forecasting, which plays a crucial role in many real-world applications. Due to …

The lithium-ion battery equalization method with voltage equalization is relatively mature
and convenient to implement. However, this equalization method may cause excessive …

This paper presents an adaptive probabilistic recurrent Takagi-Sugeno-Kang fuzzy neural
PID controller for handling the problems of uncertainties in nonlinear systems. The proposed …

In this paper, we investigated the fixed-time synchronization problem of a type of reaction-
diffusion fuzzy neural networks with stochastic perturbations by developing simple control …

Interval type-2 fuzzy neural network (IT2FNN) has extensive applications for modeling
nonlinear systems with multi-dimensional structured data. However, the traditional IT2FNN …