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   <dc:title>Understanding color trends by means of non-monotone utility functions</dc:title>
   <dc:creator>Ghaderi, Mohammad</dc:creator>
   <dc:creator>Ruiz Vegas, Francisco Javier</dc:creator>
   <dc:creator>Agell Jané, Núria</dc:creator>
   <dc:subject>Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Mètodes estadístics</dc:subject>
   <dc:subject>Multiple criteria decision making</dc:subject>
   <dc:subject>Multi-Criteria Decision Analysis</dc:subject>
   <dc:subject>Disaggregation preference method</dc:subject>
   <dc:subject>Non-monotonic utility function</dc:subject>
   <dc:subject>Color trends</dc:subject>
   <dc:subject>Decisió multicriteri, Presa de</dc:subject>
   <dcterms:abstract>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.</dcterms:abstract>
   <dcterms:abstract>Peer Reviewed</dcterms:abstract>
   <dcterms:abstract>Postprint (author’s final draft)</dcterms:abstract>
   <dcterms:issued>2014</dcterms:issued>
   <dc:type>Conference report</dc:type>
   <dc:relation>http://ebooks.iospress.nl/volumearticle/38055</dc:relation>
   <dc:rights>Open Access</dc:rights>
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