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Authordc.contributor.authorYu, Dejian 
Authordc.contributor.authorLi, Deng Feng 
Authordc.contributor.authorMerigó Lindahl, José 
Cita de ítemdc.identifier.citationInternational Journal of Machine Learning and Cybernetics. Volumen: 7 Número: 5 Páginas: 819-831es_ES
Abstractdc.description.abstractThe concept of dual hesitant fuzzy set arising from hesitant fuzzy set is generalized by including a function reflecting the decision maker's fuzziness about the non-membership degree of the information provided. This paper studies some dual hesitant fuzzy information aggregation operators for aggregating dual hesitant fuzzy elements, such as dual hesitant fuzzy Heronian mean operator and dual hesitant fuzzy geometric Heronian mean operator. The research resulting dual hesitant fuzzy information aggregation operators finds an important role in group decision making (GDM) applications. It can fusion the experts' opinion to the comprehensive ones and based on which an optimal decision making scheme can be determined. The properties of the proposed operators are studied and the application on GDM are investigated. The effectiveness of the GDM method is demonstrated on the case study about supplier selection.es_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.uri*
Sourcedc.sourceInternational Journal of Machine Learning and Cyberneticses_ES
Keywordsdc.subjectSupplier selectiones_ES
Keywordsdc.subjectHeronian meanes_ES
Keywordsdc.subjectHesitant fuzzy setes_ES
Títulodc.titleDual hesitant fuzzy group decision making method and its application to supplier selectiones_ES
Document typedc.typeArtículo de revistaes_ES
Catalogueruchile.catalogadorC. R. B.es_ES
Indexationuchile.indexArtículo de publicación ISIes_ES

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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile