Understanding color trends by means of non-monotone utility functions

Mohammad Ghaderi, Francisco J. Ruiz, Núria Agell

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

1 Citació (Scopus)

Resum

In this paper we explore the possibility of capturing color trends and understanding the rationale behind the popularity of a color. To this end, we propose using a preference disaggregation approach from the field of Multi-Criteria Decision Analysis. The main objective is to identify the criteria aggregation model that underlies the global preference of a color. We introduce a new disaggregation method based on the well-known UTASTAR algorithm able to represent preferences by means of non-monotonic utility functions. The method is applied to a large database of ranked colors, from three different years, based on the information published on the webpage of an international creative community. Non-monotone marginal utility functions from each of the coordinates are obtained for each year. These functions contain the color preference information captured, in an understandable way.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development - Recent Advances and Applications
EditorsNuria Agell, Oriol Pujol, Lledo Museros
EditorIOS Press
Pàgines107-115
Nombre de pàgines9
ISBN (electrònic)9781614994510, 9781614994527
DOIs
Estat de la publicacióPublicada - 2014
Publicat externament
Esdeveniment17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014 - Barcelona, Spain
Durada: 22 d’oct. 201424 d’oct. 2014

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum269
ISSN (imprès)0922-6389

Conferència

Conferència17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014
País/TerritoriSpain
CiutatBarcelona
Període22/10/1424/10/14

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