Managing Group Decision Making criteria values using Fuzzy Ontologies
Metadata
Show full item recordAuthor
Morente Molinera, Juan Antonio; Cabrerizo, F.J.; Trillo Vílchez, José Ramón; Herrera Viedma, EnriqueEditorial
Elsevier
Materia
Fuzzy ontologies Multi-criteria group decision making Linguistic modelling Clustering
Date
2022-02-03Referencia bibliográfica
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]
Sponsorship
Spanish Government PID2019-103880RB-I00 / AEI / 10.13039/501100011033Abstract
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.