CLOTHING RECOMMENDATION BASED ON FUZZY MATHEMATICS

In this paper, a clothing recommendation method is developed based on fuzzy mathematics, which is the theoretical foundation of the clothing interactive system development. The knowledge of design elements and semantic space is elicited by the methods of interviewing, laddering and card sorting. The different linguistic variables are represented by triangle fuzzy numbers, fuzzy total utility value and fuzzy utility similarity to show the reflection between the design elements space and sensory space. On the basis of the theory of the fuzzy synthesis evaluation, all samples can be sorted into different sets respectively and then the garments in the proper set are recommended to customers in sequence of similarity degree to their requirements. Although the men's suit is taken as a case study in this paper, the techniques and methods can be extended to other garments.