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 …

The purpose of this tutorial paper is to make general type-2 fuzzy logic systems (GT2 FLSs)
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …

In 1975, Zadeh proposed Type-2 Fuzzy Sets (T2 FS) as an extension to the previously
introduced ordinary fuzzy sets (now called type-1 fuzzy sets). Type-2 fuzzy sets have the …

This paper provides an introduction to and an overview of type-2 fuzzy sets (T2 FS) and
systems. It does this by answering the following questions: What is a T2 FS and how is it …

Real world applications are characterized by high levels of linguistic and numerical
uncertainties. Since the inception of Fuzzy Logic Systems (FLSs), they have been applied …

Type-2 fuzzy logic systems (FLSs) allow uncertainties that occur in rule-based FLSs to be
modeled using the new third dimension of type-2 fuzzy sets. Although a complete theory of …

Introduction Type-2 fuzzy sets were developed initially in 1975 by Zadeh [11]. They
responded to the major shortcoming of type-1 fuzzy sets by offering a conceptual scheme …

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 …

Type-2 fuzzy logic offers an opportunity to model levels of uncertainty with which traditional
fuzzy logic (type-1) struggles. This article provides a historical perspective of the …

This article provides a high-level retrospective of type-2 fuzzy sets and fuzzy logic systems. It
explains how type-2 fuzzy sets can be used to model membership function uncertainties …