Fuzziness (entropy) is a commonly used measure of uncertainty for type-1 fuzzy sets. For
interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewness …

Construction of interval type-2 fuzzy set models is the first step in the perceptual computer,
which is an implementation of computing with words. The interval approach (IA) has, so far …

Five uncertainty measures have previously been defined for interval Type-2 fuzzy sets (IT2
FSs), namely centroid, cardinality, fuzziness, variance and skewness. Based on a recently …

In this paper, we present a new method for fuzzy multiple attributes decision making based
on interval type-2 fuzzy sets. First, we present a new fuzzy ranking method based on the α …

This paper addresses the tracking problem for the dynamic model of a unicycle mobile robot.
A novel optimization method inspired on the chemical reactions is applied to solve this …

In this paper, an interval type-2 fuzzy sliding-mode controller (IT2FSMC) is proposed for
linear and nonlinear systems. The proposed IT2FSMC is a combination of the interval type-2 …

Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract
patterns from databases. Many authors have used this technique to generate summaries like …

This paper presents a new fuzzy bee colony optimization method to find the optimal
distribution of the membership functions in the design of fuzzy controllers for complex …

Generalized type-2 fuzzy logic systems cannot currently be used for practical problems
because the amount of computation required to defuzzify a generalized type-2 fuzzy set is …

This paper presents new techniques for performing logical operations on type-2 fuzzy sets.
These techniques make significant use of geometric methods to give, for the first time, logic …