This paper presents the development and design of a graphical user interface and a
command line programming Toolbox for construction, edition and simulation of Interval Type …

Interval type-2 fuzzy logic systems (IT2-FLSs) have recently been utilized in many control
processes due to their ability to model uncertainties better than their type-1 (T1) …

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This chapter formally introduces type-2 fuzzy sets and is the backbone for the rest of this
book. It includes a lot of new terminologies. Coverage includes: the concept of a type-2 fuzzy …

In this paper, we present a novel technique to generate zSlices based general type-2 fuzzy
sets using a series of interval type-2 fuzzy sets based around the notion of" agreement" of …

This paper provides an introduction to and an overview of type-2 fuzzy sets (T2 FS) and
systems. It does this by answering the following questions: What is a T2 FS and how is it …

A Fuzzy Logic System (FLS) is generally credited with being an adequate methodology for
real world applications which are subject to high uncertainty levels. Recent works have …

Uncertainty is an inherent part of intelligent systems used in real-world applications. The use
of new methods for handling incomplete information is of fundamental importance. Type-1 …

We present the theory and design of interval type-2 fuzzy logic systems (FLSs). We propose
an efficient and simplified method to compute the input and antecedent operations for …

This paper provides application-independent perspectives on why improved performance
usually occurs as one goes from an interval type-2 (IT2) fuzzy system to a general type-2 …