This paper addresses the finite-time tracking problem of nonlinear pure-feedback systems.
Unlike the literature on traditional finite-time stabilization, in this paper the nonlinear system …

The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …

This paper presents a literature review of applications using type-2 fuzzy systems in the area
of image processing. Over the last years, there has been a significant increase in research …

As an undetachable module of type-2 (T2) fuzzy computations and reasoning, type-
reduction methods play an important role in various fuzzy disciplines including fuzzy logic …

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 …

Nowadays, there are different representations of Generalized Type-2 Fuzzy Sets that
consider a non-uniform distribution of the uncertainty, for example, the Geometric approach …

Edge detectors have traditionally been an essential part of many computer vision systems.
There are different methods that have been proposed for improving edge detection in real …

This paper presents the optimization of a fuzzy edge detector based on the traditional Sobel
technique combined with interval type-2 fuzzy logic. The goal of using interval type-2 fuzzy …

This paper considers two fixed charge transportation problems with type-2 fuzzy parameters.
Unit transportation costs, fixed costs in the first problem and unit transportation costs, fixed …

Fuzzy set theory has been proposed as a means for modeling the vagueness in complex
systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by …