The approximation space in rough set theory is important for dealing with uncertainties. As
the information contained in various information systems is constantly updated and changed …

Abstract Three-way decision (3WD) and rough set are two influential theories of study
knowledge discovery and uncertain artificial intelligence. A central notion of 3WD is a tri …

This article addresses the composite hierarchical antidisturbance control issue for the front
steering vehicle system with uncertain parameters. First, the front steering vehicle system is …

This study is concerned with the composite anti-disturbance issue for nonlinear systems
subject to state saturation and parameter uncertainties, including the unknown harmonic …

This paper delves into the application of integral sliding mode control (ISMC) in addressing
the complexities of fuzzy time-delay systems with periodic impulses. Unlike the sliding mode …

The boil-turbine system is a multivariable and strong coupling system with the characteristics
of nonlinearity, time-varying parameters, and large delay. The accurate model can effectively …

Recently, systems have become large in their model and dynamic. To apply control
algorithms, serious problems appear that need to be solved. Two significant problems are …

Fuzzy clustering has been widely applied in TS fuzzy model identification for nonlinear
systems, however, tradition type-1 fuzzy clustering algorithms can't deal with uncertainties in …

Fuzzy rule-based model (FRBM) has attracted significant attention in various fields due to its
accuracy and high level of interpretability. In this study, two granular Takagi–Sugeno (T–S) …

The fuzzy clustering algorithms based on interval type-2 are effective methods for data
clustering and image segmentation with some potential advantages in dealing with higher …