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

被引：177
|
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.
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页数：12
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