Fuzzy classification of young women's lower body based on anthropometric measurement.

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dc.contributor.authorLiu, Kaixuan
dc.contributor.authorWang, Jianping
dc.contributor.authorTao, Xuyuan
dc.contributor.authorZeng, Xianyi
dc.contributor.authorBruniaux, Pascal
dc.contributor.authorKamalha, Edwin
dc.date.accessioned2026-07-02T03:49:18Z
dc.date.available2026-07-02T03:49:18Z
dc.date.issued2016
dc.descriptionArticle
dc.description.abstractThe 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.
dc.description.sponsorshipChina Scholarship Council ; Fundamental Research Funds for the Central Universities ; Busitema University
dc.identifier.citationLiu, 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. https://doi.org/10.1016/j.ergon.2016.07.008
dc.identifier.urihttps://bdears.busitema.ac.ug/handle/123456789/7116
dc.language.isoen
dc.publisherElsevier
dc.titleFuzzy classification of young women's lower body based on anthropometric measurement.
dc.typeArticle
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