A comprehensive review on type 2 fuzzy logic applications: Past, present and future

被引：192

作者：

Mittal, Kanika ^{[1
]}

Jain, Amita ^{[2
]}

Vaisla, Kunwar Singh ^{[3
]}

Castillo, Oscar ^{[4
]}

Kacprzyk, Janusz ^{[5
]}

机构：

[1] Bhagwan Parshuram Inst Technol, Delhi, India

[2] Ambedkar Inst Adv Commun Technol & Res, New Delhi, India

[3] Uttarakhand Tech Univ, Dehra Dun, Uttarakhand, India

[4] Tijuana Inst Technol, Tijuana, Mexico

[5] Polish Acad Sci, Warsaw, Poland

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2020年 / 95卷

关键词：

Type-2 fuzzy logic (T2FL); Type-2 fuzzy logic system (T2FLS); Interval type-2 fuzzy logic system (IT2FLS); Fuzzy Logic Controllers (FLC); Fuzzy sets (FS); Classification; Pattern recognition; Intelligent control; DYNAMIC PARAMETER ADAPTATION; NEURAL-NETWORKS; CONTROLLER-DESIGN; RESPONSE INTEGRATION; OPTIMIZATION; SETS; CLASSIFICATION; UNCERTAINTY; OPERATIONS; MANAGEMENT;

D O I：

10.1016/j.engappai.2020.103916

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 widely applied in the fields of intelligent control, pattern recognition and classification, among others. The overview mainly focuses on past, present and future trends of type-2 fuzzy logic applications. Of utmost importance is the last part, outlining possible areas of applied research in type-2 FL in the future. The major contribution of the paper is briefing of the most relevant work in the area of type-2 fuzzy logic, including its theoretical and practical implications. As well as envisioning possible future works and trends in this area of research. We believe that this paper will provide a good platform for people interested in this area for their future research work.

引用

页数：12

共 119 条

[1] Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization [J].