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Managing Group Decision Making criteria values using Fuzzy Ontologies

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URI: http://hdl.handle.net/10498/26726

DOI: 10.1016/j.procs.2022.01.021

ISSN: 1877-0509

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2022_238.pdf (439.7Kb)
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Author/s
Morente-Molinera, Juan Antonio; Cabrerizo, Francisco Javier; Trillo, J.R.; Pérez Gálvez, Ignacio JavierAuthority UCA
Date
2022
Department
Ingeniería Informática
Source
Procedia Computer Science
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.
Subjects
Fuzzy Ontologies; Multi-criteria Group Decision Making; linguistic modelling; clustering
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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