Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …

In this paper a concise overview of the work that has been done by various researchers in
the area of type-2 fuzzy logic is analyzed and discussed. Type-2 fuzzy systems have been …

Anomaly detection is a significant and hence well-studied problem. However, develo**
effective anomaly detection methods for complex and high-dimensional data remains a …

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 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 …

This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …

In this article, an observer-based fuzzy adaptive inverse optimal output feedback control
problem is studied for a class of nonlinear systems in strict-feedback form. The considered …

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 …

In practical applications, particularly in flexible manufacturing systems, there is a high level
of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced …

Nowadays Fuzzy logic in control applications is a well-recognized alternative, and this is
thanks to its inherent advantages as its robustness. However, the Type-2 Fuzzy Logic …