Ranking features by means of a qualitative optimisation process

Mónica Sánchez, Yu Chiang Hu, Francesc Prats, Xari Rovira, Josep M. Sayeras, John Dawson

Producció científica: Capítol de llibreContribució a una conferènciaAvaluat per experts

1 Citació (Scopus)

Resum

A set of qualitative measures describing a retail firm is considered. A qualitative ranking process of these features based on the managers' evaluations is presented. In a decision making context, this paper proposes a methodology to synthesise information given by ordinal data. Features are evaluated by each manager on an ordinal scale with different levels of precision and from two points of view: importance of the measure and performance on the measure. A representation for the different evaluations by means of k-dimensional qualitative orders of magnitude labels is proposed. The presented methodology deals with these evaluations to obtain two rankings based on comparing distances against a reference k-dimensional label. The final ranking of features with respect to their importance will help the managers to make decisions to improve the performance.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development
Pàgines310-319
Nombre de pàgines10
Estat de la publicacióPublicada - 2007
Publicat externament
Esdeveniment10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007 - Sant Julia de Loria, Andorra
Durada: 25 d’oct. 200726 d’oct. 2007

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum163
ISSN (imprès)0922-6389

Conferència

Conferència10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007
País/TerritoriAndorra
CiutatSant Julia de Loria
Període25/10/0726/10/07

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