A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems

被引：29

作者：

Shukla, Amit K. ^{[1
]}

Banshal, Sumit Kumar ^{[1
]}

Seth, Taniya ^{[1
]}

Basu, Aparna ^{[1
]}

John, Robert ^{[2
]}

Muhuri, Pranab K. ^{[1
]}

机构：

[1] South Asian Univ, Dept Comp Sci, New Delhi, India

[2] Univ Nottingham, Sch Comp Sci, LUCID, Nottingham, England

来源：

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | 2020年 / 15卷 / 01期

关键词：

INTERVAL TYPE-2; LOGIC SYSTEMS; DECISION-MAKING; UNCERTAINTY; INTELLIGENCE; CLASSIFICATION; OPTIMIZATION; CONTROLLERS; NETWORK; DESIGN;

D O I：

10.1109/MCI.2019.2954669

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fuzzy Sets and Systems is an area of computational intelligence, pioneered by Lotfi Zadeh over 50 years ago in a seminal paper in Information and Control. Fuzzy Sets (FSs) deal with uncertainty in our knowledge of a particular situation. Research and applications in FSs have grown steadily over 50 years. More recently, we have seen a growth in Type-2 Fuzzy Set (T2 FS) related papers, where T2 FSs are utilized to handle uncertainty in realworld problems. In this paper, we have used bibliometric methods to obtain a broad overview of the area of T2 FSs. This method analyzes information on the bibliographic details of published journal papers, which includes title, authors, author address, journals and citations, extracted from the Science and Social Science Citation Indices in the Web of Science (WoS) database for the last 20 years (1997-2017). We have compared the growth of publications in the field of FSs, and its subset T2 FSs, identified highly cited papers in T2 FSs, highly cited authors, key institutions, and main countries with researchers involved in T2 FS related research.

引用

页码：89 / 98

页数：10

共 79 条

[1]

[Anonymous], 2017, UNCERTAIN RULE BASED

[2]

[Anonymous], [No title captured]

[3] Fuzzy decision making: A bibliometric-based review [J].