This paper presents a comparative study of type-2 fuzzy logic systems with respect to
interval type-2 and type-1 fuzzy logic systems to show the efficiency and performance of a …

This paper presents an edge-detection method that is based on the morphological gradient
technique and generalized type-2 fuzzy logic. The theory of alpha planes is used to …

Most current methodologies on fixed-time adaptive fuzzy control for uncertain nonlinear
systems result in practical fixed-time stability but not fixed-time stability, or require prior …

In this work a Generalized type-2 Fuzzy Logic System (GT2FLS) approach for dynamic
parameter adaptation in metaheuristics and for optimal fuzzy controller design is presented …

This paper proposes an obstacle avoidance method in the position stabilization of the
wheeled mobile robots using interval type-2 fuzzy neural network (IT2FNN). Previously, we …

In this paper, we present a new method for fuzzy multiple attributes group decision-making
based on the proposed ranking method of trapezoidal interval type-2 fuzzy sets and the …

Optimized performance obtained from existing adaptive fuzzy optimal control methods
comes at the cost of a intricate design procedure and a heavy computation of online …

This article proposes a new multiobjective optimization approach for designing a self-
generated interpretable fuzzy logic system (FLS). The types of fuzzy sets (FSs) can be …

Dynamic control, including robotic control, faces both the theoretical challenge of obtaining
accurate system models and the practical difficulty of defining uncertain system bounds. To …

Fuzzy logic control is a recognized approach for handling the faced uncertainties within
control applications. However, type-1 fuzzy controllers using crisp type-1 fuzzy sets might not …