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dc.contributor.authorNguyen, Jennifer
dc.contributor.authorArmisen Morell, Albert
dc.contributor.authorSánchez Hernández, Germán
dc.contributor.authorAgell Jané, Núria
dc.contributor.authorAngulo Bahón, Cecilio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-06-06T08:06:48Z
dc.date.issued2018
dc.identifier.citationNguyen, J. [et al.]. A fuzzy learning method to segment visitors of a tourist attraction. A: International Conference of the Catalan Association for Artificial Intelligence. "Artificial Intelligence Research and Development - Current Challenges, New Trends and Applications, CCIA 2018, 21st International Conference of the Catalan Association for Artificial Intelligence, Alt Empordà, Catalonia, Spain, 8-10th October 2018.". 2018, p. 96-105.
dc.identifier.urihttp://hdl.handle.net/2117/134033
dc.description.abstractWe propose in this paper a method which segments demographic and contextual attributes of tourists when visiting an attraction. Clustering patterns based on categorical attributes can be challenging as it is difficult to define a distance between two categorical attributes where a natural order does not exist. Our proposed measure, based on a fuzzy aggregation operator, can be easily implemented in a hierarchical agglomerative clustering algorithm. The method has been implemented in a particular tourist attraction example with 2937 visitors.
dc.format.extent10 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshTourism
dc.subject.lcshArtificial intelligence
dc.subject.lcshFuzzy logic
dc.subject.otherFuzzy
dc.subject.otherClustering
dc.subject.otherSatisfaction
dc.subject.otherTourism
dc.titleA fuzzy learning method to segment visitors of a tourist attraction
dc.typeConference report
dc.subject.lemacTurisme
dc.subject.lemacIntel·ligència artificial
dc.subject.lemacLògica-difusa
dc.identifier.doi10.3233/978-1-61499-918-8-96
dc.relation.publisherversionhttp://ebooks.iospress.nl/volumearticle/50395
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac25136771
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TIN2016-80049-C2-2-R
dc.date.lift10000-01-01
local.citation.authorNguyen, J.; Armisen, A.; Sánchez, G.; Agell, N.; Angulo, C.
local.citation.contributorInternational Conference of the Catalan Association for Artificial Intelligence
local.citation.publicationNameArtificial Intelligence Research and Development - Current Challenges, New Trends and Applications, CCIA 2018, 21st International Conference of the Catalan Association for Artificial Intelligence, Alt Empordà, Catalonia, Spain, 8-10th October 2018.
local.citation.startingPage96
local.citation.endingPage105


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain