This paper proposes a novel gradient-boosting-based ensemble system with a fuzzy
regression tree (FRT) as its base component for regression tasks. FRT first initializes the rule …

Existing research mainly uses prior knowledge to set all fuzzy sets in a fuzzy system to the
same type. In data-driven fuzzy modeling, automatically determining the type of fuzzy set is …

In this paper, a new method of hierarchical fuzzy system modeling for high-dimensional
regression problems is proposed, which is called multi-objective evolutionary hierarchical …

Financial markets and weather prediction are generating streaming data at a rapid rate. The
frequent concept drifts in these data streams pose significant challenges to learners during …

This article proposes a novel explicit-time and explicit-accuracy adaptive fuzzy control for a
state-constrained nonlinear nonstrict-feedback uncertain system. This method can explicitly …

Deep learning (DL) techniques provide highly accurate disease predictions by extracting
implicit higher-order correlations between features. However, DL opinions are not advisable …

In this paper, a new two-dimensional gaussian hierarchical priority fuzzy system (TGHPFS)
is proposed to handle interval-valued data. TGHPFS first performs hierarchical clustering of …

In order to overcome the influence of model uncertainty and external disturbance on the
trajectory tracking accuracy of four-wheel omnidirectional mobile robot (FM-OMR), a new …

In the existing terminal sliding mode tracking controller design of the industrial cyber-
physical systems (ICPSs) against cyber-attacks, the convergence time and tracking …

In this paper, a novel self-learning design of an interval type-2 hierarchical fuzzy system (IT2
HFS) based on rule relevance is proposed. Different from the existing methods, this paper …