dc.creatorMerigó Lindahl, José
dc.creatorGil Lafuente, Anna María
dc.creatorYu, Dejian
dc.creatorLlopis Albert, Carlos
dc.date.accessioned2018-11-06T19:57:39Z
dc.date.available2018-11-06T19:57:39Z
dc.date.created2018-11-06T19:57:39Z
dc.date.issued2018-07
dc.identifierApplied Soft Computing Volumen: 68 Páginas: 314-321
dc.identifier10.1016/j.asoc.2018.04.002
dc.identifierhttps://repositorio.uchile.cl/handle/2250/152431
dc.description.abstractThis 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. (C) 2018 Elsevier B.V. All rights reserved.
dc.languageen
dc.publisherElsevier
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceApplied Soft Computing
dc.subjectOWA operator
dc.subjectFuzzy numbers
dc.subjectAggregation operators
dc.subjectGroup decision-making
dc.titleFuzzy decision making in complex frameworks with generalized aggregation operators
dc.typeArtículo de revista


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