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dc.contributor.authorMorente-Molinera, Juan Antonioen
dc.contributor.authorPerez, Ignacio Javieren
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.accessioned2015-07-20T14:34:53Z
dc.date.available2015-07-20T14:34:53Z
dc.date.issued2015
dc.identifier.citationMorente-Molinera, J. et al. (2015) A novel group decision making method to overcome the Web 2.0 challenges. In: Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC2015).en
dc.identifier.urihttp://hdl.handle.net/2086/11088
dc.description.abstractWith the appearance of Web 2.0 technologies, the way Internet is conceived has dramatically changed. Internet users have begun to perform a more active role in providing and sharing the information available on the Web. Thanks to mobile technologies, users can access the Internet from their smartphones at any time, independently of their location. Moreover, users gather in communities where they can communicate and share information. These communities can hold a high number of people and, consequently, a large amount of information need to be managed. Nevertheless, as the information tends to be disorganized, it is difficult for users to manage them properly to make the most of it. Therefore, there is a necessity of tools that can help users to organize and manage in a proper way the large amount of available information. In this paper, we propose the use of a novel group decision making approach to allow a high number of people to communicate among themselves and reach conclusions in a regulated way. As a high amount of people usually implies too much information, we propose the use of Fuzzy Ontologies as a way to deal with it in an organized way.en
dc.language.isoenen
dc.publisherIEEE Xploreen
dc.subjectDecision Makingen
dc.subjectKnowledge Managementen
dc.subjectSemantic Weben
dc.subjectWeb 2.0en
dc.subjectKnowledge Representationen
dc.subjectFuzzy Ontologiesen
dc.titleA novel group decision making method to overcome the Web 2.0 challengesen
dc.typeConferenceen
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderThis paper has been developed with the financing of FEDER funds in TIN2013-40658-P and Andalusian Excellence Project TIC-5991.en
dc.projectidTIN2013-40658-Pen
dc.projectidTIC-5991en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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