Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65114
Title: Estimation of ease allowance of a garment using fuzzy logic
Authors: Chen, Y
Zeng, X
Happiette, M
Brunianux, P
Ng, R 
Yu, W 
Issue Date: 2006
Publisher: Springer
Source: In C Kahrama (Ed.), Fuzzy applications in industrial engineering, p. 367-379. Berlin: Springer, 2006 How to cite?
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.
URI: http://hdl.handle.net/10397/65114
ISBN: 9783540335177 (electronic bk.)
9783540335160 (hb)
3540335161 (hb)
DOI: 10.1007/3-540-33517-X_15
Appears in Collections:Book Chapter

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