ponencia en congreso.page.titleprefix
Optimizing relationships information in repertory grids

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dc.contributor.authorCalot, Enrique
dc.contributor.authorBritos, Paola Verónica
dc.contributor.authorGarcía Martínez, Ramón
dc.date.accessioned2019-01-18T18:54:35Z
dc.date.available2019-01-18T18:54:35Z
dc.date.issued2008
dc.description.abstract"The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that could be used to infer more precise dependencies. This paper proposes an improvement to take advantage on the information that is being ignored in the current method. Furthermore, this improvement fixes several other limitations attached to the original method, such as election in a discrete set of two values as a similarity pole or a contrast pole, the arbitrary measurement of distances, the unit-scale dependency and the normalization, among others. The idea is to use linear regression to estimate the correlation between constructs and use the fitness error as a distance measure."en
dc.identifier.issn1571-5736
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/1430
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/reference/doi/10.1007/978-0-387-09695-7_16
dc.subjectINTELIGENCIA ARTIFICIALes
dc.subjectINGENIERIA DE SISTEMASes
dc.subjectANALISIS DE REGRESIONes
dc.titleOptimizing relationships information in repertory gridsen
dc.typePonencias en Congresoses
dc.typeinfo:eu-repo/semantics/publishedVersion
dspace.entity.typePonencia en Congreso
itba.description.filiationFil: Calot, Enrique. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina.
itba.description.filiationFil: Britos, Paola Verónica. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: García Martínez, Ramón. Instituto Tecnológico de Buenos Aires; Argentina.

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