Co-words analysis of the last ten years of the international journal of uncertainty, fuzziness and knowledge-based systems

Cobo, MJ; Wang, W; Laengle, S; Merigó, JM; Yu, D; Herrera-Viedma, E

Co-words analysis of the last ten years of the international journal of uncertainty, fuzziness and knowledge-based systems

Cobo, MJ Wang, W Laengle, S Merigó, JM

Yu, D Herrera-Viedma, E

Permalink

Publication Type:: Conference Proceeding
Citation:: Communications in Computer and Information Science, 2018, 855 pp. 667 - 677
Issue Date:: 2018-01-01

Closed Access

	Filename	Description	Size
	mjcobo-ipmu2018.pdf	Accepted Manuscript version	417.79 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Cobo, MJ	en_US
dc.contributor.author	Wang, W	en_US
dc.contributor.author	Laengle, S	en_US
dc.contributor.author	Merigó, JM https://orcid.org/0000-0002-4672-6961	en_US
dc.contributor.author	Yu, D	en_US
dc.contributor.author	Herrera-Viedma, E	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Communications in Computer and Information Science, 2018, 855 pp. 667 - 677	en_US
dc.identifier.isbn	9783319914787	en_US
dc.identifier.issn	1865-0929	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132803
dc.description.abstract	© Springer International Publishing AG, part of Springer Nature 2018. The main aim of this contribution is to develop a co-words analysis of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems in the last ten years (2008–2017). The software tool SciMAT is employed using an approach that allows us to uncover the main research themes and analyze them according to their performance measures (qualitative and quantitative). An amount of 562 documents were retrieved from the Web of Science. The corpus was divided into two consecutive periods (2008–2012 and 2013–2017). Our key findings are that the most important research themes in the first and second period were devoted with decision making process and its related aspects, techniques and methods.	en_US
dc.relation.ispartof	Communications in Computer and Information Science	en_US
dc.relation.isbasedon	10.1007/978-3-319-91479-4_55	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Co-words analysis of the last ten years of the international journal of uncertainty, fuzziness and knowledge-based systems	en_US
dc.type	Conference Proceeding
utslib.citation.volume	855	en_US
utslib.for	0806 Information Systems	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	855	en_US

Abstract:

© Springer International Publishing AG, part of Springer Nature 2018. The main aim of this contribution is to develop a co-words analysis of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems in the last ten years (2008–2017). The software tool SciMAT is employed using an approach that allows us to uncover the main research themes and analyze them according to their performance measures (qualitative and quantitative). An amount of 562 documents were retrieved from the Web of Science. The corpus was divided into two consecutive periods (2008–2012 and 2013–2017). Our key findings are that the most important research themes in the first and second period were devoted with decision making process and its related aspects, techniques and methods.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132803