Type-2 fuzzy sets possess higher capability of capturing uncertainties than ordinary fuzzy
sets due to the presence of secondary membership degree. As a consequence, type-2 fuzzy …

The aim of this paper is to show that a Generalized Type-2 Fuzzy Control System can
outperform Type-1 and Interval Type-2 Fuzzy Control Systems when external perturbations …

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

Intelligent vehicles can effectively improve traffic congestion and road traffic safety. Adaptive
cruise following-control (ACFC) is a vital part of intelligent vehicles. In this paper, a new …

This paper is about some important changes in type-2 fuzzy set (T2 FS) definitions and
notations that have occurred during the past 16 years. It summarizes the evolution of how …

Feature discretization algorithms of remote sensing images are often based on the
assumption that a sample only belongs to a single category and cannot describe uncertainty …

Recent results on fuzzy control have shown that interval type-2 (IT2) fuzzy logic controllers
(FLCs) might achieve better control performance due to the additional degree of freedom …

Abstract The Proton Exchange Membrane Fuel Cell (PEMFC) air supply system takes on the
characteristics of external disturbances and uncertain parameters, which is difficult to …

Trading strategies can be divided into two categories, ie, those with momentum
characteristic and those that appear contrarian. The characteristics of trading strategies have …

The interval type-2 fuzzy Proportional-Integral (PI) controller (IT2-FPI) might be able to
handle high levels of uncertainties to produce a satisfactory control performance, which …