Type-2 fuzzy sets can handle rule uncertainties in a more effective way. In this paper, we
review type-2 fuzzy logic systems (FLSs) simply and research the theory about type-2 TSK …

Interval type-2 fuzzy sets (IT2 FSs) can model and cope with the uncertainties existing in the
real-world applications. There exist several uncertainty measures for IT2 FSs, such as …

Interval type-2 fuzzy logic systems (IT2 FLSs) have become increasingly popular in the last
decade, and have demonstrated superior performance in a number of applications …

In the past decade Type-2 Fuzzy Logic Systems (T2 FLSs) gained increased research
attention due to their potential to outperform Type-1 FLSs in applications with dynamic …

Interval type-2 fuzzy sets (IT2FSs) are increasingly used in fuzzy systems for modeling
linguistic words. Various approaches exist to construct such IT2FSs. Although the …

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Interval type-2 fuzzy sets (T2 FS) play a central role in fuzzy sets as models for words and in
engineering applications of T2 FSs. These fuzzy sets are characterized by their footprints of …

In recent years, the type-2 fuzzy sets theory has been used to model and minimize the
effects of uncertainties in rule-base fuzzy logic system (FLS). In order to make the type-2 FLS …

This Ph. D. dissertation has four main objectives. Firstly, the noise reduction property of type-
2 fuzzy logic systems that use a novel type-2 fuzzy membership function is studied. A …

This article providesa systematic approach for the design of an interval type-3 (IT3) Takagi–
Sugeno (T–S) fuzzy logic system (FLS) using-plane representation. An IT3 FLS is designed …