Interval Type-3 Fuzzy Logic Systems (IT3FLS) | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …

Constructing the interval type-2 fuzzy sets (IT2 FSs) models is the essential step to realize
computing with words (CWW) using IT2 FSs. This paper presents a novel strategy for the …

In this paper, analytical closed-form expressions are derived for the input–output relation
related to an interval type-2 fuzzy logic system. It has been assumed that the related fuzzy …

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 …

Real world environments are characterized by high levels of linguistic and numerical
uncertainties. Recently, interval type-2 Fuzzy Logic Systems (FLSs) appeared as an …

To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS)
in a T2 fuzzy logic system (FLS), most people only use an interval T2 FS, the result being an …

Qualitative knowledge is very useful for system modeling and control problems, especially
when specific physical structure knowledge is unavailable and the number of training data …

Throughout previous design proposals of Interval Type-2 Fuzzy Logic Systems most of the
research work concentrates on optimal design to best fit data behavior and rarely focus on …

In this chapter, the authors have realized Interval Type-2 Fuzzy Logic Systems (IT2 FLSs)
with the average of two Type-1 Fuzzy Logic Systems (T1 FLSs). The authors have presented …

This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-
2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). The basic …