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Authordc.contributor.authorEspinoza Audelo, Luis 
Authordc.contributor.authorLeón Castro, Ernesto 
Authordc.contributor.authorOlazabal Lugo, Marycruz 
Authordc.contributor.authorMerigó Lindahl, José 
Authordc.contributor.authorGil Lafuente, Anna M. 
Admission datedc.date.accessioned2020-06-22T23:07:49Z
Available datedc.date.available2020-06-22T23:07:49Z
Publication datedc.date.issued2020
Cita de ítemdc.identifier.citationInternational Journal of Information Technology & Decision Making Volumen: 19 Número: 2 Páginas: 601-628 Mar 2020es_ES
Identifierdc.identifier.other10.1142/S0219622020500066
Identifierdc.identifier.urihttp://repositorio.uchile.cl/handle/2250/175641
Abstractdc.description.abstractThis paper presents the ordered weighted average weighted average inflation (OWAWAI) and some extensions using induced and heavy aggregation operators and presents the generalized operators and some of their families. The main advantage of these new formulations is that they can use two different sets of weighting vectors and generate new scenarios based on the reordering of the arguments with the weights. With this idea, it is possible to generate new approaches that under- or overestimate the results according to the knowledge and expertise of the decision-maker. The work presents an application of these new approaches in the analysis of the inflation in Chile, Colombia, and Argentina during 2017.es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherWorld Scientific Publishinges_ES
Sourcedc.sourceInternational Journal of Information Technology & Decision Makinges_ES
Keywordsdc.subjectOWA operatores_ES
Keywordsdc.subjectInflationes_ES
Keywordsdc.subjectDecision makinges_ES
Títulodc.titleUsing Ordered Weighted Average for Weighted Averages Inflationes_ES
Document typedc.typeArtículo de revistaes_ES
Catalogueruchile.catalogadorlajes_ES
Indexationuchile.indexArtículo de publicación ISIes_ES
Access notedct.AccessRightsSin acceso a texto completoes_ES


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