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dc.contributorUniversitat Ramon Llull. Facultat de Turisme i Direcció Hotelera Sant Ignasi
dc.contributorUniversitat Ramon Llull. ESADE
dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.creatorFornells Herrera, Albert
dc.creatorRodrigo, Zaida
dc.creatorRovira Llobera, Xari
dc.creatorSantomà Vicens, Ricard
dc.creatorTeixidó Navarro, Francesc
dc.creatorGolobardes, Elisabet
dc.date.accessioned2019-10-22T09:04:34Z
dc.date.accessioned2024-07-19T07:42:49Z
dc.date.available2019-10-22T09:04:34Z
dc.date.available2024-07-19T07:42:49Z
dc.date.created2015-12
dc.date.issued2019-10
dc.identifier.urihttp://hdl.handle.net/20.500.14342/4323
dc.description.abstractThe concept mapping methodology aims to respond to the non trivial task of conceptualising abstract thoughts by means of a focus group composed by experts from the studied domain. The approach defines a set of general steps that allow experts to lead the generation of ideas, group the ideas in a conceptual map of interrelated concepts using clustering multidimensional scaling and clustering techniques, analysing the quality of the conceptual maps and deciding on a final interpretation. In this sense, this final decision is not trivial because clustering techniques provide a set of potentially conceptual maps so experts must select the one that fits best according to their opinion. For this reason, we present the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning. It promotes the consensus of experts opinions and ensures objectivity in the final interpretation. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in the hospitality industry. This work presents the global index of consensus as an indicator for filtering the most suitable clustering solutions using qualitative reasoning that promotes the consensus of experts’ opinions, which is one of the key aspects in the concept mapping methodology. The index outperforms three of the most well-known clustering validation indexes in a case study focused on the meaning of excellence in hospitality.eng
dc.format.extent11 p.
dc.publisherElsevier
dc.relation.ispartofPattern Recognition Letters, 2015, Vol. 67, Part 1 (December)
dc.rightsL'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights© Elsevier
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.titlePromoting consensus in the concept mapping methodology: an application in the hospitality sector
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion


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