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An Adaptive Feedback Mechanism for Consensus Reaching Processes Based on Individuals' Credibility

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dc.contributor.author Cabrerizo, Francisco Javier
dc.contributor.author Pérez, Ignacio Javier
dc.contributor.author Morente-Molinera, Juan Antonio
dc.contributor.author Alonso, Sergio
dc.contributor.author Herrera-Viedma, Enrique
dc.date.accessioned 2019-01-02T23:55:37Z
dc.date.available 2019-01-02T23:55:37Z
dc.date.issued 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59608
dc.description.abstract In group decision making, the decision made should be the one of highest consensus. Numerous consensus reaching processes have been developed as a part of the decision process. Within a consensus reaching process, a notable step is that of the feedback mechanism that helps the individuals arrive at an agreement by generating some recommendations on how they should modify their evaluations. Our objective is to present a new feedback mechanism based on individuals' credibility. Different from the existing approaches, it adapts the recommendations provided to the individuals depending on their credibility.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Intelligent Decision Systems Based on Soft Computing
dc.subject Decision Analytics, Mobile Services, and Service Science
dc.subject Credibility, consensus, feedback mechanism, group decision making
dc.title An Adaptive Feedback Mechanism for Consensus Reaching Processes Based on Individuals' Credibility
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.204
Appears in Collections: Intelligent Decision Systems Based on Soft Computing


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