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

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Title:An Adaptive Feedback Mechanism for Consensus Reaching Processes Based on Individuals' Credibility
Authors:Cabrerizo, Francisco Javier
Pérez, Ignacio Javier
Morente-Molinera, Juan Antonio
Alonso, Sergio
Herrera-Viedma, Enrique
Keywords:Intelligent Decision Systems Based on Soft Computing
Decision Analytics, Mobile Services, and Service Science
Credibility, consensus, feedback mechanism, group decision making
Date Issued:08 Jan 2019
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.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/59608
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Intelligent Decision Systems Based on Soft Computing


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