dc.creator | Merigó Lindahl, José | |
dc.creator | Gil Lafuente, Anna María | |
dc.creator | Yu, Dejian | |
dc.creator | Llopis Albert, Carlos | |
dc.date.accessioned | 2018-11-06T19:57:39Z | |
dc.date.available | 2018-11-06T19:57:39Z | |
dc.date.created | 2018-11-06T19:57:39Z | |
dc.date.issued | 2018-07 | |
dc.identifier | Applied Soft Computing Volumen: 68 Páginas: 314-321 | |
dc.identifier | 10.1016/j.asoc.2018.04.002 | |
dc.identifier | https://repositorio.uchile.cl/handle/2250/152431 | |
dc.description.abstract | 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. (C) 2018 Elsevier B.V. All rights reserved. | |
dc.language | en | |
dc.publisher | Elsevier | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | |
dc.source | Applied Soft Computing | |
dc.subject | OWA operator | |
dc.subject | Fuzzy numbers | |
dc.subject | Aggregation operators | |
dc.subject | Group decision-making | |
dc.title | Fuzzy decision making in complex frameworks with generalized aggregation operators | |
dc.type | Artículo de revista | |