In this paper a concise overview of the work that has been done by various researchers in
the area of type-2 fuzzy logic is analyzed and discussed. Type-2 fuzzy systems have been …

In this paper a review of type-2 fuzzy logic applications in pattern recognition, classification
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …

In this paper a review of type-2 fuzzy logic applications in pattern recognition, classification
and clustering problems is presented. Recently, type-2 fuzzy logic has gained popularity in a …

Fuzzy set theory has been proposed as a means for modeling the vagueness in complex
systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by …

This paper describes an approach using computational intelligence methods to form a
hybrid model as a classification method for 2-lead cardiac arrhythmias. The hybridization of …

Background and objective To safely select the proper therapy for Ventricullar Fibrillation (VF)
is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms …

Simple Summary The ambulatory ECG (AECG) is an important diagnostic tool for many
heart electrophysiology-related cases. This review covers some key Ambulatory ECG …

The huge complexity and uncertainty in real life requires the use of advanced automatic
learning methods to find out better approximators and suitable relationship in real data …

This paper, which is tutorial in nature, demonstrates how the Embedded Sets
Representation Theorem (RT) for a general type-2 fuzzy set (T2 FS), when specialized to an …

In this paper, a robust sparse representation for medical image classification is proposed
based on the adaptive type-2 fuzzy learning (T2-FDL) system. In the proposed method …