The traditional method of body classiﬁcation is discrete, using crisp and rather dichotomous classiﬁcation methods; there are many shortcomings for ergonomic design of clothing products by this method. This paper proposes a fuzzy method to classify lower body shapes based on triangular fuzzy numbers. By using factor analysis and correlation analysis, we found that the height, the waist girth, and the differ- ence of hip-waist are crucial dimensions to represent lower body shape. We then classiﬁed the lower body shape into three categories according to the difference of hip-to-waist, and ﬁnally used the membership of triangular fuzzy numbers to represent the lower body shapes. Results show that the fuzzy method of body classiﬁcation can more accurately represents body information than the traditional method without increasing the number of body types. Additionally, we established that the mean of the height, waist girth and hip girth of the young women of northeast China increased by about 0.8 cm, 1.5 cm and 1.4 cm respectively compared with ten years ago. Relevance to industry: Anthropometric data is the basis of garment pattern design, and body classiﬁ- cation is a necessary precondition for developing a garment size system. These research achievements will add value to the pattern design of young women's lower body clothing, the development of new sizing systems and related industries.
Fuzzy classification of young women's lower body based on anthropometric measurement / Liu, Kaixuan; Wang, Jianping; Tao, Xuyuan; Zeng, Xianyi; Bruniaux, Pascal; Kamalha, Edwin. - In: INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS. - ISSN 0169-8141. - ELETTRONICO. - 55(2016), pp. 60-68. [10.1016/j.ergon.2016.07.008]
|Titolo:||Fuzzy classification of young women's lower body based on anthropometric measurement|
|Data di pubblicazione:||2016|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/j.ergon.2016.07.008|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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