A Human Perception-Based Fashion Design Support System for Mass Customization

When developing mass customized products, human perception on products, including consumer’s and design expert’s perception, should be integrated into the process of design. So in this paper, we originally propose a fashion decision support system for supporting designer’s 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.