In this chapter, the focus is on exploring the uncertainty problem generated by the human perception of fashion design in apparel supply chain systems. Discussions on an experimental methodology based on fuzzy logic techniques for optimizing the decision support from product development to target market are presented. As an industrial application, an intelligent fashion recommender system is proposed, which can be used to help select the most relevant garment design scheme for a specific consumer in order to support proper target market selection for fashion mass customization.