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dc.contributor.authorMorente-Molinera, Juan Antonio
dc.contributor.authorPerez, I. J.
dc.contributor.authorCabrerizo, Francisco Javier
dc.contributor.authorAlonso, Sergio
dc.contributor.authorHerrera-Viedma, Enrique
dc.date2018
dc.date.accessioned2020-06-26T11:32:18Z
dc.date.available2020-06-26T11:32:18Z
dc.identifier.isbn9783319668246
dc.identifier.issn2194-5357
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10219
dc.descriptionConferencia de "Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017; Warsaw; Poland; 11 September 2017 through 15 September 2017"es_ES
dc.description.abstractGroup Decision Making methods are interesting tools that can be used for extracting subjective information from experts that are familiar with an specific topic. Although they are typically used for carrying out an alternatives ranking, a novel approach that can extract information from the experts and store it in a fuzzy ontology is presented in this paper. Thanks to this, it is possible to create a knowledge database using subjective information extracted from experts in the dealt topic. This database can be helpful for other users that are interested in the stored data. The obtained information is stored in a fuzzy ontology due to its capacity of using queries to access the information and because they are able to handle the information in a organized way.es_ES
dc.language.isoenges_ES
dc.publisherAdvances in fuzzy logic and technologyes_ES
dc.relation.ispartofseries;vol. 642
dc.relation.urihttps://link.springer.com/chapter/10.1007/978-3-319-66824-6_50es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectfuzzy ontologyes_ES
dc.subjectaggregation operatorses_ES
dc.subjectsemantic webes_ES
dc.subjectinformationes_ES
dc.subjectWOS(2)es_ES
dc.subjectScopus(2)es_ES
dc.titleUsing Group Decision Making Methods to Extract Experts Knowledgees_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-319-66824-6_50


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