Ranking features by means of a qualitative optimisation process

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

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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 originalInglés
Título de la publicación alojadaArtificial Intelligence Research and Development
Páginas310-319
Número de páginas10
EstadoPublicada - 2007
Publicado de forma externa
Evento10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007 - Sant Julia de Loria, Andorra
Duración: 25 oct 200726 oct 2007

Serie de la publicación

NombreFrontiers in Artificial Intelligence and Applications
Volumen163
ISSN (versión impresa)0922-6389

Conferencia

Conferencia10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007
País/TerritorioAndorra
CiudadSant Julia de Loria
Período25/10/0726/10/07

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