Fuzzy decision making: A bibliometric-based review

Blanco-Mesa, F; Merigó, JM; Gil-Lafuente, AM

Fuzzy decision making: A bibliometric-based review

Blanco-Mesa, F Merigó, JM

Gil-Lafuente, AM

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Publication Type:: Journal Article
Citation:: Journal of Intelligent and Fuzzy Systems, 2017, 32 (3), pp. 2033 - 2050
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Blanco-Mesa, F	en_US
dc.contributor.author	Merigó, JM https://orcid.org/0000-0002-4672-6961	en_US
dc.contributor.author	Gil-Lafuente, AM	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Journal of Intelligent and Fuzzy Systems, 2017, 32 (3), pp. 2033 - 2050	en_US
dc.identifier.issn	1064-1246	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126396
dc.description.abstract	© 2017 IOS Press and the authors. All rights reserved. Fuzzy decision-making consists in making decisions under complex and uncertain environments where the information can be assessed with fuzzy sets and systems. The aim of this study is to review the main contributions in this field by using a bibliometric approach. For doing so, the article uses a wide range of bibliometric indicators including the citations and the h-index. Moreover, it also uses the VOS viewer software in order to map the main trends in this area. The work considers the leading journals, articles, authors and institutions. The results indicate that the USA was the traditional leader in this field with the most significant researcher. However, during the last years, this field is receiving more attention by Asian authors that are starting to lead the field. This discipline has a strong potential and the expectations for the future is that it will continue to grow.	en_US
dc.relation.ispartof	Journal of Intelligent and Fuzzy Systems	en_US
dc.relation.isbasedon	10.3233/JIFS-161640	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Fuzzy decision making: A bibliometric-based review	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	32	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
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 Information, Systems and Modelling
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	32	en_US

Abstract:

© 2017 IOS Press and the authors. All rights reserved. Fuzzy decision-making consists in making decisions under complex and uncertain environments where the information can be assessed with fuzzy sets and systems. The aim of this study is to review the main contributions in this field by using a bibliometric approach. For doing so, the article uses a wide range of bibliometric indicators including the citations and the h-index. Moreover, it also uses the VOS viewer software in order to map the main trends in this area. The work considers the leading journals, articles, authors and institutions. The results indicate that the USA was the traditional leader in this field with the most significant researcher. However, during the last years, this field is receiving more attention by Asian authors that are starting to lead the field. This discipline has a strong potential and the expectations for the future is that it will continue to grow.

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http://hdl.handle.net/10453/126396