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dc.contributor.authorNicolas Alarcón, Carolina
dc.contributor.authorGil-Lafuente, Jaime
dc.contributor.authorUrrutia-Sepúlveda, Angélica
dc.contributor.authorValenzuela-Fernández, Leslier
dc.date.accessioned2018-11-22T14:00:58Z
dc.date.available2018-11-22T14:00:58Z
dc.date.issued2018
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/1998
dc.description.abstractIn this paper we propose to apply fuzzy logic methodologies for measuring key performance indicator into Balanced Scorecard (BSC) Customer Perspective. This study provide fuzzy key performance indicator (FKPI) to the customer experience management for uncertainty measures. The proposal is a step forward in terms of methodologies for creation of performance indicators in the field of marketing, where you have the opportunity to work with uncertain or vague data (human language). The significant contribution of the research is include qualitative data indicator, result from analysis the information that expresses the client in text format, to BSC. The methodology used is the model proposed by Mamdani fuzzy inference which is based on the fuzzy logic theory and fuzzy subsets. Software Matlab was used for the analysis.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceApplied Mathematics and Computational Intelligence. FIM 2015. Advances in Intelligent Systems and Computing, 730es_CL
dc.subjectFuzzy key performance indicatores_CL
dc.subjectFuzzy inferencees_CL
dc.subjectCustomer experience managementes_CL
dc.subjectMamdani inference methodes_CL
dc.titleFuzzy logic approach applied into balanced scorecardes_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias de la Ingenieríaes_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.urilink.springer.com/chapter/10.1007/978-3-319-75792-6_12es_CL
dc.ucm.doidoi.org/10.1007/978-3-319-75792-6_12es_CL


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