Fuzzy sets are suitable for modeling human linguistic uncertainties, and the resulting fuzzy
systems can then be used to perform inferences based on a linguistic rulebase. They have …

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 …

Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a
large variety of applications. While recently interval type-2 fuzzy logic has been credited for …

Real world environments are characterized by high levels of linguistic and numerical
uncertainties. Recently, interval type-2 Fuzzy Logic Systems (FLSs) appeared as an …

This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-
2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). The basic …

Real world applications are characterized by high levels of linguistic and numerical
uncertainties. Since the inception of Fuzzy Logic Systems (FLSs), they have been applied …

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 …

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 …

This paper explains how to compute normalized interval type-2 fuzzy sets in closed form and
explains how the results reduce to well-known results for type-1 fuzzy sets and interval sets …

In this paper, a new and simple approach, called interval approach, to type-2 fuzzistics is
presented, one that captures the strong points of both the person-MF and interval end-points …