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dc.contributor.authorCabrerizo, Francisco Javier
dc.contributor.authorMorente-Molinera, Juan Antonio
dc.contributor.authorAlonso, Sergio
dc.contributor.authorPedrycz, Witold
dc.contributor.authorHerrera-Viedma, Enrique
dc.date2018
dc.date.accessioned2020-09-09T13:44:41Z
dc.date.available2020-09-09T13:44:41Z
dc.identifier.isbn9781538666500
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10542
dc.descriptionPonencia de la conferencia "2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018; Miyazaki; Japan; 7 October 2018 through 10 October 2018"es_ES
dc.description.abstractIntuitionistic reciprocal preference relations constitute a flexible and simple representation of decision makers' preference on a set of alternative options, while at the same time allow to accommodate degrees of hesitation inherent to all decision making processes. In this study, we present an approach to support the objective of reaching consensus in group decision making. By using intuitionistic reciprocal preference relations to model the assessments expressed by the decision makers, we propose the concept of a granular intuitionistic reciprocal preference relation in which each pairwise comparison is formed as an interval (information granule) in place of a single numeric value. This provides the flexibility that is required to improve the quality of consensus. With the purpose of illustrating and testing the performance of this approach, an experimental example is provided.es_ES
dc.language.isoenges_ES
dc.publisher2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018es_ES
dc.relation.urihttps://ieeexplore.ieee.org/document/8616252es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectconsensuses_ES
dc.subjectgranular computinges_ES
dc.subjectgroup decision makinges_ES
dc.subjectintuitionistic reciprocal preference relationses_ES
dc.subjectScopus(2)es_ES
dc.titleImproving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approaches_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1109/SMC.2018.00256


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