del Moral Avila, Maria JoseChiclana, FranciscoTapia Garcia, Juan MiguelHerrera-Viedma, Enrique2019-01-022019-01-022019-01-08978-0-9981331-2-6http://hdl.handle.net/10125/59609The variance is a well-known statistical measure and is frequently used for the calculation of variability. This concept can be used to obtain the degree of agreement in groups that have to make decisions. In this study, we propose the use of a variance derivative as an alternative for the calculation of the degree of consensus for Group Decision Making problems with fuzzy preference relations. As revealed by a subsequent comparative study, the values obtained by this new method are comparable to the values obtained by means of frequently used methods that employ distance functions and aggregation operators, while it turns out to be a simpler application method.7 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalIntelligent Decision Systems Based on Soft ComputingDecision Analytics, Mobile Services, and Service ScienceComparative study, consensus, group decision making problems, fuzzy preference relations, varianceConference Paper10.24251/HICSS.2019.205