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dc.contributor.advisorRoldán López Del Hierro, Concepción Beatriz 
dc.contributor.advisorRoldán López de Hierro, Antonio Francisco 
dc.contributor.authorAlfonso Pérez, Gerardo
dc.contributor.otherUniversidad de Granada.es_ES
dc.date.accessioned2018-06-21T10:37:23Z
dc.date.available2018-06-21T10:37:23Z
dc.date.issued2018
dc.date.submitted2017-10-09
dc.identifier.citationAlfonso Pérez, Gerardo. Análisis estadístico con datos difusos en la economía China. Granada: Universidad de Granada, 2018. [http://hdl.handle.net/10481/51617]es_ES
dc.identifier.isbn9788491638827
dc.identifier.urihttp://hdl.handle.net/10481/51617
dc.description.abstractDifferent sources of imprecision and uncertainty are encountered in practical problems and, thus, many elements may need to be imprecisely observed, defined or treated. In this setting, one of the most successfully applied techniques to describe possible relationships between fuzzy variables is the regression methodology. In this dissertation, we introduce a fuzzy regression procedure involving a class a fuzzy numbers defined by some level sets called finite fuzzy numbers. We give a characterization of the image of a finite fuzzy number in terms of the extremes of its level sets and we present a parametric family of fuzzy semidistances between them that let us to consider a total fuzzy error of estimation (described as a fuzzy sum of squares of residuals in particular cases). The estimation process consist in finding a regression model that minimizes, in a fuzzy sense, such fuzzy error. Although spreads of finite fuzzy numbers can take some values very close to zero, which complicate the task of finding nonnegative models, the presented algorithm is able to guarantee that the predicted response is a fuzzy variable. Finally a numerical example based on fuzzy economic data of China is given to illustrate the use of the proposed method.es_ES
dc.description.sponsorshipTesis Univ. Granada.es_ES
dc.description.sponsorshipPrograma Oficial de Doctorado en Estadística Matemática y Aplicadaes_ES
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenges_ES
dc.publisherUniversidad de Granadaes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectMatemáticas es_ES
dc.subjectEconomía es_ES
dc.subjectEstadística es_ES
dc.subjectChina es_ES
dc.titleAnálisis estadístico con datos difusos en la economía Chinaes_ES
dc.typedoctoral thesises_ES
dc.subject.udc51es_ES
dc.subject.udc33es_ES
dc.subject.udc519.2es_ES
dc.subject.udc(510)es_ES
dc.subject.udc1209es_ES
dc.subject.udc530204es_ES
europeana.typeTEXTen_US
europeana.dataProviderUniversidad de Granada. España.es_ES
europeana.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/en_US
dc.rights.accessRightsopen accessen_US


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