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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:contributor>Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement</dc:contributor>
   <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>
   <dc:description>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.</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (author’s final draft)</dc:description>
   <dc:date>2014</dc:date>
   <dc:type>Conference report</dc:type>
   <dc:identifier>Ghaderi, M.; Ruiz, F.; Agell, N. Understanding color trends by means of non-monotone utility functions. A: Congrés Internacional de l’Associació Catalana d’Intel·ligència Artificial. "Artificial Intelligence Research and Development - Proceedings of the 17th International Conference of the Catalan Association for Artificial Intelligence : Volume: 269 of Frontiers in Artificial Intelligence and Applications". Barcelona: 2014, p. 107-115.</dc:identifier>
   <dc:identifier>978-161499451-0</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/27464</dc:identifier>
   <dc:identifier>10.3233/978-1-61499-452-7-87</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>http://ebooks.iospress.nl/volumearticle/38055</dc:relation>
   <dc:rights>Open Access</dc:rights>
   <dc:format>9 p.</dc:format>
   <dc:format>application/pdf</dc:format>
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