| dc.contributor.author | Nguyen, Jennifer |
| dc.contributor.author | Armisen Morell, Albert |
| dc.contributor.author | Sánchez Hernández, Germán |
| dc.contributor.author | Agell Jané, Núria |
| dc.contributor.author | Angulo Bahón, Cecilio |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| dc.date.accessioned | 2019-06-06T08:06:48Z |
| dc.date.issued | 2018 |
| dc.identifier.citation | Nguyen, 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.uri | http://hdl.handle.net/2117/134033 |
| dc.description.abstract | We 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.extent | 10 p. |
| dc.language.iso | eng |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject | Àrees temàtiques de la UPC::Informàtica |
| dc.subject.lcsh | Tourism |
| dc.subject.lcsh | Artificial intelligence |
| dc.subject.lcsh | Fuzzy logic |
| dc.subject.other | Fuzzy |
| dc.subject.other | Clustering |
| dc.subject.other | Satisfaction |
| dc.subject.other | Tourism |
| dc.title | A fuzzy learning method to segment visitors of a tourist attraction |
| dc.type | Conference report |
| dc.subject.lemac | Turisme |
| dc.subject.lemac | Intel·ligència artificial |
| dc.subject.lemac | Lògica-difusa |
| dc.identifier.doi | 10.3233/978-1-61499-918-8-96 |
| dc.relation.publisherversion | http://ebooks.iospress.nl/volumearticle/50395 |
| dc.rights.access | Restricted access - publisher's policy |
| local.identifier.drac | 25136771 |
| dc.description.version | Postprint (author's final draft) |
| dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/TIN2016-80049-C2-2-R |
| dc.date.lift | 10000-01-01 |
| local.citation.author | Nguyen, J.; Armisen, A.; Sánchez, G.; Agell, N.; Angulo, C. |
| local.citation.contributor | International Conference of the Catalan Association for Artificial Intelligence |
| local.citation.publicationName | 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. |
| local.citation.startingPage | 96 |
| local.citation.endingPage | 105 |
