Estimation of ease allowance of a garment using fuzzy logic

Y. Chen, X. Zeng, M. Happiette, P. Brunianux, Keng Po Roger Ng, W. Yu

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic research

4 Citations (Scopus)

Abstract

The ease allowance is an important criterion in garment sales. It is often taken into account in the process of construction of garment patterns. However, the existing pattern generation methods can not provide a suitable estimation of ease allowance, which is strongly related to wearer’s body shapes and movements and used fabrics. They can only produce 2D patterns for a fixed standard value of ease allowance. In this chapter, we propose a new method of estimating ease allowance of a garment using fuzzy logic and sensory evaluation. Based on these values of ease allowance, we develop a new method of automatic pattern generation, permitting to improve the wearer’s fitting perception of a garment. The effectiveness of our method has been validated in the design of trousers of jean type. It can also be applied for designing other types of garment.
Original languageEnglish
Title of host publicationFuzzy applications in industrial engineering
PublisherSpringer
Pages367-379
Number of pages13
ISBN (Electronic)9783540335177
ISBN (Print)3540335161, 9783540335160
DOIs
Publication statusPublished - 2006

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