Title :
Fuzzy Optimisation Modelling for Apparel Fit from Body Scanning Data Mining
Author :
Qin, Shengfeng ; Yang, Lifang
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
Abstract :
The paper presents a fuzzy optimization modeling for apparel fit design. The apparel fit issue is associated with mass-production of clothes and mass customization. The emerging technologies such as 3D body scanning and 3D visualization have enabled accurate 3D body measurements and virtual try-on design and apparel fit evaluation. However, the apparel fit is a very complicated issue, it is not only related to accurate body measurements, but also to body shapes, functional and motion needs, and personal preference. The proposed optimization model is capable of addressing general multi-dimensional fit issues and can be solved by a stepwise optimization process.
Keywords :
clothing; data mining; design engineering; fuzzy set theory; mass production; optimisation; product customisation; 3D body measurements; 3D visualization; apparel fit design; apparel fit issue; body scanning data mining; clothes customization; fuzzy optimisation modelling; mass customization; mass-production; multidimensional fit issues; stepwise optimization process; Clothing; Data engineering; Data mining; Design engineering; Design optimization; Fabrics; Fuzzy systems; Knowledge engineering; Shape measurement; Textile technology; apparel fit; data mining; optimization modeling;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.126
