A Human Perception-Based Fashion Design Support System for Mass Customization
When developing mass customized products, human perception on products, including consumers and design experts perception, should be integrated into the process of design.So in this paper, we originally propose a fashion decision support system for supporting designers work.In this system, we first characterize and acquire fashion expert perception and consumer perception on human body shapes.Next, these perceptual data are formalized and analyzed using the intelligent techniques, such as fuzzy set theory, decision tree, and fuzzy cognitive map.The complex relations between these perceptions as well as the physical measurements of body shapes are modeled, leading to the criteria which will permit to determine if a new design style is feasible or not for a given fashion theme.The proposed system is aimed to support customized design and mass market selection in practice.
Human perception Intelligent system Fuzzy sets Decision tree Fashion design Mass customization
Lichuan Wang Xianyi Zeng Ludovic Koehl Yan Chen
National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soocho GEMTEX Laboratory, Roubaix 59100, France;University of Lille, Nord de France, Lille 59000, France National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soocho
国际会议
北京
英文
543-555
2012-12-15（万方平台首次上网日期，不代表论文的发表时间）