The purpose of this tutorial paper is to make general type-2 fuzzy logic systems (GT2 FLSs)
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …

Interval type-2 fuzzy logic systems (IT2 FLSs) have demonstrated better abilities to handle
uncertainties than their type-1 (T1) counterparts in many applications; however, the high …

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 …

Uncertainty 2 is the fabric that makes life interesting. For millennia human beings have
developed strategies to cope with a plethora of uncertainties, never absolutely sure what the …

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 …

An introductory book that provides theoretical, practical, and application coverage of the
emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy …

This paper presents an integrated interval type-2 fuzzy logic approach that simultaneously
models and controls an underactuated mobile two-wheeled inverted pendulum (MTWIP) …

Abstract Interval type-2 (IT2) fuzzy systems have become increasingly popular in the last 20
years. They have demonstrated superior performance in many applications. However, the …

Interval type-2 fuzzy logic controllers (IT2 FLCs) have recently been attracting a lot of
research attention. Many reported results have shown that IT2 FLCs are better able to …

Type-reduction algorithms are very important for type-2 fuzzy sets and systems. The earliest
one, and also the most popular one, is the Karnik-Mendel Algorithm, which is iterative and …