Polynomial regression interval-valued fuzzy systems

Y Qiu, H Yang, YQ Zhang, Y Zhao - Soft Computing, 2008 - Springer
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 …

Statistical interval-valued fuzzy systems via linear regression

Y Qiu, YQ Zhang, Y Zhao - 2005 IEEE International Conference …, 2005 - ieeexplore.ieee.org
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. In order to make the type-2 fuzzy …

General derivation and analysis for input–output relations in interval type-2 fuzzy logic systems

M Aliasghary, I Eksin, M Guzelkaya, T Kumbasar - Soft Computing, 2015 - Springer
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 …

Encoding prior knowledge into data driven design of interval type-2 fuzzy logic systems

C Li, J Yi, T Wang - … Journal of Innovative Computing, Information and …, 2011 - ijicic.org
In system identification or modeling problems, interval type-2 fuzzy logic systems (IT2FLSs),
which have obvious advantages for handling different sources of uncertainties, are usually …

A fuzzy rule-based classification system using interval type-2 fuzzy sets

M Tang, X Chen, W Hu, W Yu - … , IUKM 2011, Hangzhou, China, October 28 …, 2011 - Springer
The design of type-2 fuzzy rule-based classification systems from labeled data is considered
in this study. With the aid of interval type-2 fuzzy sets, which can effectively capture …

Toward a fuzzy logic system based on general forms of interval type-2 fuzzy sets

G Ruiz-García, H Hagras, H Pomares… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Interval type-2 fuzzy membership function generation methods for representing sample data

FCH Rhee, BI Choi - Advances in Type-2 Fuzzy Sets and Systems: Theory …, 2013 - Springer
Abstract Type-2 fuzzy sets (T2 FSs) have been shown to manage uncertainty more
effectively than type-1 fuzzy sets (T1 FSs) in several areas of engineering. However …

On using type-1 fuzzy set mathematics to derive interval type-2 fuzzy logic systems

JM Mendel, RI John, F Liu - … 2005-2005 Annual Meeting of the …, 2005 - ieeexplore.ieee.org
In this paper, we demonstrate that it is unnecessary to take the route from general type-2
fuzzy set to interval type-2 fuzzy set, and that all of the results that are needed to implement …

Simplified interval type-2 fuzzy logic system based on new type-reduction

AM El-Nagar, M El-Bardini - Journal of Intelligent & Fuzzy …, 2014 - content.iospress.com
Interval type-2 fuzzy logic systems (IT2-FLSs) have recently been utilized in many control
processes due to their ability to model uncertainties better than their type-1 (T1) …

[引用][C] Interval type-2 fuzzy logic system

S Lata, M Ayyub - International Journal of Electronic and Electrical …, 2014