The representation theorem for interval type-2 fuzzy sets (IT2 FSs), proposed by Mendel and
John, states that an IT2 FS is a combination of all its embedded type-1 (T1) FSs, which can …

In Part 1 of this two-part paper, we bounded the centroid of a symmetric interval type-2 fuzzy
set (T2 FS), and consequently its uncertainty, using geometric properties of its footprint of …

In this paper, we will present two theorems for the join and meet operations for general type-
2 fuzzy sets with arbitrary secondary memberships, which can be nonconvex and/or …

Neuro-fuzzy systems have been proved to be an efficient tool for modelling real life systems.
They are precise and have ability to generalise knowledge from presented data. Neuro …

Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a
very useful means to depict the decision information in the process of decision making. In …

Type-2 fuzzy sets are growing in popularity as, for certain applications they model
uncertainty and imprecision better than type-1 fuzzy sets. However, type-2 fuzzy sets can be …

The Representation Theorem for interval type-2 fuzzy sets (IT2 FSs), proposed by Mendel
and John, states that an IT2 FS is a combination of all its embedded type-1 (T1) FSs, which …

In many contexts, type-2 fuzzy sets (T2 FS) are obtained from a type-1 fuzzy set to which we
wish to add uncertainty. However, in the current type-2 representation, there is no restriction …

This paper presents the development and design of a graphical user interface and a
command line programming toolbox for construction, edition and observation of interval type …

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 …