Predicting the Fashion Features of Fabrics Using Fuzzy Technique and Rough Set Method

EasyChair Preprint no. 2671

Abstract

In this paper, we originally propose a new predicting model to the fashion features of fabrics. It enables to select fabrics satisfying fashion demand according to a small amount of technical parameters which is easy to be measured. For this, we set up three mathematical models. By using fuzzy technique, we first define several fuzzy sets to express measured technical parameters and sensory properties of fabrics. Then, we set up the relational model between the technical parameters and sensory properties by using the rough set method. Next, we set up the relational model between the fashion themes (to express the fashion features of fabrics) and sensory properties by using fuzzy technique. Combine with the two models, we establish the relational model between fashion themes and technical parameters. The proposed model has been validated through a number of successful real design cases.

Keyphrases: Fashion theme, Fuzzy technique, Rough Set Theory, Sensory property, Technical Parameter

@Booklet{EasyChair:2671,
  author = {Min Dong and Xianyi Zeng and Ludovic Koehl and Junjie Zhang},
  title = {Predicting the Fashion Features of Fabrics Using Fuzzy Technique and Rough Set Method},
  howpublished = {EasyChair Preprint no. 2671},

  year = {EasyChair, 2020}}