Optimizing relationships information in repertory grids

Calot, Enrique; Britos, Paola Verónica; García Martínez, Ramón

Ponencia en Congreso:
Optimizing relationships information in repertory grids

dc.contributor.author	Calot, Enrique
dc.contributor.author	Britos, Paola Verónica
dc.contributor.author	García Martínez, Ramón
dc.date.accessioned	2019-01-18T18:54:35Z
dc.date.available	2019-01-18T18:54:35Z
dc.date.issued	2008
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.issn	1571-5736
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/1430
dc.language.iso	en	en
dc.relation	info:eu-repo/semantics/reference/doi/10.1007/978-0-387-09695-7_16
dc.subject	INTELIGENCIA ARTIFICIAL	es
dc.subject	INGENIERIA DE SISTEMAS	es
dc.subject	ANALISIS DE REGRESION	es
dc.title	Optimizing relationships information in repertory grids	en
dc.type	Ponencias en Congresos	es
dc.type	info:eu-repo/semantics/publishedVersion
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Calot, Enrique. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina.
itba.description.filiation	Fil: Britos, Paola Verónica. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: García Martínez, Ramón. Instituto Tecnológico de Buenos Aires; Argentina.