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dc.contributor.authorBueno, Itzcóatl
dc.contributor.authorPorcel Gallego, Carlos Gustavo 
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2022-04-19T11:54:08Z
dc.date.available2022-04-19T11:54:08Z
dc.date.issued2022-02-03
dc.identifier.citationItzcóatl Bueno... [et al.]. Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples, Procedia Computer Science, Volume 199, 2022, Pages 718-724, ISSN 1877-0509, [https://doi.org/10.1016/j.procs.2022.01.089]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/74375
dc.descriptionThis work has been funded by the Spanish State Research Agency through the project PID2019-103880RB-I00 / AEI / 10.13039/501100011033.es_ES
dc.description.abstractCustomer segmentation is a key piece of a company's business strategy. This paper presents a segmentation of the online users of tourism platforms through the recency, frequency and helpfulness of the users. 2-tuples model is applied to these variables to be more precise without loss of information. In addition, the functionality of the proposal made by the authors is verified through a use case in which TripAdvisor opinioners are segmented in reference to the experience lived in hotels and tourist accommodation.es_ES
dc.description.sponsorshipSpanish Government PID2019-103880RB-I00 / AEI / 10.13039/501100011033es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectFuzzy linguistic modelinges_ES
dc.subjectCustomer opinion valuees_ES
dc.subjectMulti-Criteria Decision-Makinges_ES
dc.subjectOnline customers segmentationes_ES
dc.subject2-tuples modeles_ES
dc.titleProfiling clients in the tourism sector using fuzzy linguistic models based on 2-tupleses_ES
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.procs.2022.01.089
dc.type.hasVersionVoRes_ES


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