A deep convolutional fuzzy system (DCFS) on a high-dimensional input space is a multilayer
connection of many low-dimensional fuzzy systems, where the input variables to the low …

This study proposes a novel methodology for the extraction of a hierarchical Takagi-Sugeno
fuzzy rule-based architecture from data. This architecture reduces the number and …

Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve the
interpretability of fuzzy logic systems (FLSs). However, challenges remain, such as “How …

Fuzzy rule-based systems (FRBSs) are a common alternative for applying fuzzy logic in
different areas and real-world problems. The schemes and algorithms used to generate …

The hedge algebras theory has the potential to make significant applications in the field of
computational intelligence. The purpose of the present study is to improve the control …

Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve
interpretability of fuzzy logic systems (FLSs). In recent years, a variety of indices have been …

In this paper, the methods based on Lyapunov stability theorem to study the stability and
switching law design for the T–S fuzzy switched systems with state-driven switching method …

In this study, we propose a new variable coded hierarchical fuzzy model (VCHFM) for
handling classification problems. The proposed hierarchical framework classification model …

When we face a problem with a high number of variables using a standard fuzzy system, the
number of rules increases exponentially and the obtained fuzzy system is scarcely …

The ultimate challenges of system modeling concern designing accurate yet highly
transparent and user-centric models. We have witnessed a plethora of neurofuzzy …