Fuzzy classification of young women's lower body based on anthropometric measurement
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Industrial Ergonomics
Abstract
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 difference
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 classification
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.
Description
Keywords
Fuzzy body classification, Anthropometric measurement, Triangular fuzzy number, Lower body shape, Young woman
Citation
Liu, K., Wang, J., Tao, X., Zeng, X., Bruniaux, P., & Kamalha, E. (2016). Fuzzy classification of young women's lower body based on anthropometric measurement. International Journal of Industrial Ergonomics, 55, 60-68. http://dx.doi.org/10.1016/j.ergon.2016.07.008