Managing Group Decision Making criteria values using Fuzzy Ontologies Morente Molinera, Juan Antonio Cabrerizo, F.J. Trillo Vílchez, José Ramón Herrera Viedma, Enrique Fuzzy ontologies Multi-criteria group decision making Linguistic modelling Clustering The authors would like to thank the Spanish State Research Agency through the project PID2019-103880RB-I00 / AEI / 10.13039/501100011033. Most of the available Multi-criteria Group Decision Making methods that deal with a high number of elements usually focus on managing scenarios that have high number of alternatives and/or experts. Nevertheless, there are also cases in which the number of criteria values is difficult for the experts to tackle. In this paper, a novel Group Decision Making method that employs Fuzzy Ontologies in order to deal with a high number of criteria values is presented. Our method allows the criteria values to be combined in order to generate a reduced set of criteria values that the experts can comfortably deal with. 2022-04-19T11:39:23Z 2022-04-19T11:39:23Z 2022-02-03 info:eu-repo/semantics/conferenceObject J.A. Morente-Molinera... [et al.]. Managing Group Decision Making criteria values using Fuzzy Ontologies, Procedia Computer Science, Volume 199, 2022, Pages 166-173, ISSN 1877-0509, [https://doi.org/10.1016/j.procs.2022.01.021] http://hdl.handle.net/10481/74373 10.1016/j.procs.2022.01.021 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España Elsevier