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dc.contributor.authorFornell, Albert
dc.contributor.authorRodrigo, Zaida
dc.contributor.authorRovira Llobera, Xari
dc.contributor.authorSánchez Soler, Monica
dc.contributor.authorSantoma, Ricard
dc.contributor.authorTeixidor Navarro, Francesc
dc.contributor.authorGolobardes Ribé, Elisabet
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2015-12-11T10:02:16Z
dc.date.available2017-12-01T01:30:13Z
dc.date.issued2015-12-01
dc.identifier.citationFornell, A., Rodrigo, Z., Rovira, X., Sanchez, M., Santoma, R., Teixidor, F., Golobardes, E. Promoting consensus in the concept mapping methodology: an application in the hospitality sector. "Pattern recognition letters", 01 Desembre 2015, vol. 67, núm. Part1, p. 39-48.
dc.identifier.issn0167-8655
dc.identifier.urihttp://hdl.handle.net/2117/80419
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. (C) 2015 Elsevier B.V. All rights reserved.
dc.format.extent10 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització
dc.subject.lcshOperations research
dc.subject.otherConcept mapping methodology
dc.subject.otherQualitative reasoning techniques
dc.subject.otherConsensus measures
dc.subject.otherExcellence in hospitality
dc.subject.otherVALIDATION
dc.subject.otherSEPARATION
dc.titlePromoting consensus in the concept mapping methodology: an application in the hospitality sector
dc.typeArticle
dc.subject.lemacInvestigació operativa
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.identifier.doi10.1016/j.patrec.2015.05.013
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90B Operations research and management science
dc.rights.accessOpen Access
local.identifier.drac17270048
dc.description.versionPostprint (author's final draft)
local.citation.authorFornell, A.; Rodrigo, Z.; Rovira, X.; Sanchez, M.; Santoma, R.; Teixidor, F.; Golobardes, E.
local.citation.publicationNamePattern recognition letters
local.citation.volume67
local.citation.numberPart1
local.citation.startingPage39
local.citation.endingPage48


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