Predicting the fashion features of fabrics using fuzzy technique and rough set method

被引：0

作者：

Dong, Min ^{[1
,2
]}

Zeng, Xianyi ^{[1
,2
]}

Koehl, Ludovic ^{[2
]}

Zhang, Junjie ^{[1
]}

机构：

[1] Wuhan Text Univ, Res Ctr Nonlinear Sci, Engn Res Ctr Hubei Prov Clothing Informat, Math & Comp Inst, Wuhan, Peoples R China

[2] ENSAIT Text Inst Cent Lille, Lab Genie & Mat Text GEMTEX, F-59000 Lille, France

来源：

DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS | 2020年 / 12卷

关键词：

Fashion theme; Technical parameter; Sensory property; Fuzzy technique; Rough set theory;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 successful real design case.

引用

页码：597 / 605

页数：9

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