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 …

The use of type-2 fuzzy systems has become widespread in the leading economy sectors,
especially in industrial and application areas, such as services, health, defense, and so on …

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 …

This article discusses the natural evolution that took place from type-1 to type-2, and now
recently is occurring from type-2 to type-3 fuzzy systems. Prof. Zadeh originally proposed the …

Abstract Interval type-2 (IT2) fuzzy systems have become increasingly popular in the last 20
years. They have demonstrated superior performance in many applications. However, the …

This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and
provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning …

Recent years have witnessed a widespread in the use of interval type-2 fuzzy logic systems
(IT2 FLSs) in real-world applications. It has been shown recently that interval type-2 fuzzy …

This letter makes some observations about “Interval type-2 fuzzy sets are generalization of
interval-valued fuzzy sets: Towards a wide view on their relationship,” IEEE Trans. Fuzzy …

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 …

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