Based on the interval type-2 fuzzy (IT2F) approach, this article investigates the fault
detection filter design problem for a class of nonhomogeneous higher level Markov jump …

With the increase of technological and societal demands, more and more decision makers
are involved in the process of group decision making, which is called large-scale group …

In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …

We describe in this paper a hybrid intelligent approach for forecasting COVID-19 time series
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …

This article considers the problem of finite-time (FT) tracking control for a class of uncertain
multi-input–multioutput (MIMO) nonlinear systems with input backlash. A modified FT …

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, advances in different fields of technology have increased demands for reliable
controllers. Uncertainty and disturbances, which are inevitable in most real‐world systems …

This paper presents a comparative study between the firefly algorithm (FA) and the galactic
swarm optimization (GSO) method, where the performance of both methods is observed and …

Electric motors find widespread application across various industrial fields. The pursuit of
enhanced comprehensive electric motors performance has consistently drawn significant …

This study aims to identify appropriate innovative strategies for solar energy investments for
both commercial and non-commercial users. For this purpose, TRIZ-based 8 different …