Fuzzy systems research in the United States of America and Canada: A bibliometric overview

Merino-Arteaga, I; Alfaro-García, VG; Merigó, JM

Fuzzy systems research in the United States of America and Canada: A bibliometric overview

Merino-Arteaga, I Alfaro-García, VG Merigó, JM

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Information Sciences, 2022, 617, pp. 277-292
Issue Date:: 2022-12-01

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Field	Value	Language
dc.contributor.author	Merino-Arteaga, I
dc.contributor.author	Alfaro-García, VG
dc.contributor.author	Merigó, JM
dc.date.accessioned	2023-03-21T23:26:56Z
dc.date.available	2023-03-21T23:26:56Z
dc.date.issued	2022-12-01
dc.identifier.citation	Information Sciences, 2022, 617, pp. 277-292
dc.identifier.issn	0020-0255
dc.identifier.uri	http://hdl.handle.net/10453/168003
dc.description.abstract	The objective of this paper is to apply bibliometric techniques to analyze the evolution of fuzzy systems research (FSR) in the United States of America and Canada. The aim is to visualize the progression of FSR since Zadeh's first publication of fuzzy sets and the regional impact that these ideas have in the scientific community. This work obtains data retrieved from the Web of Science (WoS) scientific database. Using a hybrid methodology designed to maximize the obtention of representative results, we analyze 20,317 documents published between 1965 and 2020. The main findings show that Zadeh is the most influential author and that Pedrycz is the most productive author at FSR. Journals such as Fuzzy Sets and Systems (FSS) and IEEE Transactions on Fuzzy Systems (TFS) publish most of the FSR articles. The results show a greater contribution by the United States of America compared to Canada in FSR. This analysis contributes to visualization and evolution in the field of study of FSR in diverse regions.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Information Sciences
dc.relation.isbasedon	10.1016/j.ins.2022.10.116
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Fuzzy systems research in the United States of America and Canada: A bibliometric overview
dc.type	Journal Article
utslib.citation.volume	617
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-21T23:26:54Z
pubs.publication-status	Published
pubs.volume	617

Abstract:

The objective of this paper is to apply bibliometric techniques to analyze the evolution of fuzzy systems research (FSR) in the United States of America and Canada. The aim is to visualize the progression of FSR since Zadeh's first publication of fuzzy sets and the regional impact that these ideas have in the scientific community. This work obtains data retrieved from the Web of Science (WoS) scientific database. Using a hybrid methodology designed to maximize the obtention of representative results, we analyze 20,317 documents published between 1965 and 2020. The main findings show that Zadeh is the most influential author and that Pedrycz is the most productive author at FSR. Journals such as Fuzzy Sets and Systems (FSS) and IEEE Transactions on Fuzzy Systems (TFS) publish most of the FSR articles. The results show a greater contribution by the United States of America compared to Canada in FSR. This analysis contributes to visualization and evolution in the field of study of FSR in diverse regions.

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http://hdl.handle.net/10453/168003