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Understanding color trends by means of non-monotone utility functions

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10.3233/978-1-61499-452-7-87
 
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Ghaderi, Mohammad
Ruiz Vegas, Francisco JavierMés informacióMés informacióMés informació
Agell Jané, Núria
Document typeConference report
Defense date2014
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
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.
CitationGhaderi, 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. 
URIhttp://hdl.handle.net/2117/27464
DOI10.3233/978-1-61499-452-7-87
ISBN978-161499451-0
Publisher versionhttp://ebooks.iospress.nl/volumearticle/38055
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  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.438]
  • GREC - Grup de Recerca en Enginyeria del Coneixement - Ponències/Comunicacions de congressos [114]
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