RT conference output
T1 Managing Group Decision Making criteria values using Fuzzy Ontologies
A1 Morente-Molinera, Juan Antonio
A1 Cabrerizo, Francisco Javier
A1 Trillo, J.R.
A1 Pérez Gálvez, Ignacio Javier
A2 Ingeniería Informática
K1 Fuzzy Ontologies
K1 Multi-criteria Group Decision Making
K1 linguistic modelling
K1 clustering
AB 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.
PB ELSEVIER SCIENCE BV
SN 1877-0509
YR 2022
FD 2022
LK http://hdl.handle.net/10498/26726
UL http://hdl.handle.net/10498/26726
LA eng
NO Meeting: 8th International Conference on Information Technology and Quantitative Management (ITQM) - Developing Global Digital Economy after COVID-19
NO The authors would like to thank the Spanish State Research Agency through the project PID2019-103880RB-I00 / AEI / 10.13039/501100011033.
DS Repositorio Institucional de la Universidad de Cádiz
RD 12-nov-2026