A bibliometric analysis of fuzzy decision making research

Blanco-Mesa, F; Lindahl, JMM; Gil-Lafuente, AM

A bibliometric analysis of fuzzy decision making research

Blanco-Mesa, F Lindahl, JMM

Gil-Lafuente, AM

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Publication Type:: Conference Proceeding
Citation:: Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2016, 0
Issue Date:: 2016-07-02

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Field	Value	Language
dc.contributor.author	Blanco-Mesa, F	en_US
dc.contributor.author	Lindahl, JMM https://orcid.org/0000-0002-4672-6961	en_US
dc.contributor.author	Gil-Lafuente, AM	en_US
dc.date.issued	2016-07-02	en_US
dc.identifier.citation	Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2016, 0	en_US
dc.identifier.isbn	9781509044924	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126383
dc.description.abstract	© 2016 IEEE. 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, institutions and countries. The results indicate that the Zadeh L.A. led the origins of fuzzy research and Ronald Yager is the most prominent author in FDM. 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	Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS	en_US
dc.relation.isbasedon	10.1109/NAFIPS.2016.7851585	en_US
dc.title	A bibliometric analysis of fuzzy decision making research	en_US
dc.type	Conference Proceeding
utslib.citation.volume	0	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	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.publication-status	Published	en_US
pubs.volume	0	en_US

Abstract:

© 2016 IEEE. 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, institutions and countries. The results indicate that the Zadeh L.A. led the origins of fuzzy research and Ronald Yager is the most prominent author in FDM. 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/10453/126383