Fuzzy decision making in complex frameworks with generalized aggregation operators

Merigó, JM; Gil-Lafuente, AM; Yu, D; Llopis-Albert, C

Fuzzy decision making in complex frameworks with generalized aggregation operators

Merigó, JM

Gil-Lafuente, AM Yu, D Llopis-Albert, C

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Publication Type:: Journal Article
Citation:: Applied Soft Computing Journal, 2018, 68 pp. 314 - 321
Issue Date:: 2018-07-01

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Field	Value	Language
dc.contributor.author	Merigó, JM https://orcid.org/0000-0002-4672-6961	en_US
dc.contributor.author	Gil-Lafuente, AM	en_US
dc.contributor.author	Yu, D	en_US
dc.contributor.author	Llopis-Albert, C	en_US
dc.date.issued	2018-07-01	en_US
dc.identifier.citation	Applied Soft Computing Journal, 2018, 68 pp. 314 - 321	en_US
dc.identifier.issn	1568-4946	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131971
dc.description.abstract	© 2018 Elsevier B.V. This article presents a new aggregation system applied to fuzzy decision making. The fuzzy generalized unified aggregation operator (FGUAO) is a system that integrates many operators by adding a new aggregation process that considers the relevance that each operator has in the analysis. It also deals with an uncertain environment where the information is studied with fuzzy numbers. A wide range of particular cases and properties are studied. This approach is further extended by using quasi-arithmetic means. The paper ends studying the applicability in decision making problems regarding the European Union decisions. For doing so, the work uses a multi-person aggregation process obtaining the multi-person – FGUAO operator. An example concerning the fixation of the interest rate by the European Central Bank is presented.	en_US
dc.relation.ispartof	Applied Soft Computing Journal	en_US
dc.relation.isbasedon	10.1016/j.asoc.2018.04.002	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Fuzzy decision making in complex frameworks with generalized aggregation operators	en_US
dc.type	Journal Article
utslib.citation.volume	68	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0102 Applied Mathematics	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	68	en_US

Abstract:

© 2018 Elsevier B.V. This article presents a new aggregation system applied to fuzzy decision making. The fuzzy generalized unified aggregation operator (FGUAO) is a system that integrates many operators by adding a new aggregation process that considers the relevance that each operator has in the analysis. It also deals with an uncertain environment where the information is studied with fuzzy numbers. A wide range of particular cases and properties are studied. This approach is further extended by using quasi-arithmetic means. The paper ends studying the applicability in decision making problems regarding the European Union decisions. For doing so, the work uses a multi-person aggregation process obtaining the multi-person – FGUAO operator. An example concerning the fixation of the interest rate by the European Central Bank is presented.

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http://hdl.handle.net/10453/131971