@misc{10498/26726,
year = {2022},
url = {http://hdl.handle.net/10498/26726},
abstract = {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. (C) 2021 The Authors. Published by Elsevier B.V.},
organization = {The authors would like to thank the Spanish State Research Agency through the project PID2019-103880RB-I00 / AEI / 10.13039/501100011033.},
publisher = {ELSEVIER SCIENCE BV},
keywords = {Fuzzy Ontologies},
keywords = {Multi-criteria Group Decision Making},
keywords = {linguistic modelling},
keywords = {clustering},
title = {Managing Group Decision Making criteria values using Fuzzy Ontologies},
doi = {10.1016/j.procs.2022.01.021},
author = {Morente-Molinera, Juan Antonio and Cabrerizo, Francisco Javier and Trillo, J.R. and Pérez Gálvez, Ignacio Javier},
}