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 …

Type-2 fuzzy logic controllers (T2 FLC) can be viewed as an emerging class of intelligent
controllers because of their abilities in handling uncertainties; in many cases, they have …

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 …

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) …

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 …

A dynamic parameter adaptation methodology for Ant Colony Optimization (ACO) based on
interval type-2 fuzzy systems is presented in this paper. The idea is to be able to apply this …

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 …

Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

A closed-loop system that offers real-time assessment and manipulation of a user's affective
and cognitive states is very useful in developing adaptive environments which respond in a …