Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23517
Title: Optimisation of garment design using fuzzy logic and sensory evaluation techniques
Authors: Chen, Y
Zeng, X
Happiette, M
Bruniaux, P
Ng, R 
Yu, W 
Keywords: Garment design
Ease allowance
Fuzzy logic
Sensory evaluation
Data aggregation
OWA operator
Issue Date: 2009
Publisher: Pergamon Press
Source: Engineering applications of artificial intelligence, 2009, v. 22, no. 2, p. 272-282 How to cite?
Journal: Engineering applications of artificial intelligence 
Abstract: The ease allowance is an important criterion in garment design. It is often taken into account in the process of construction of garment patterns. However, the existing pattern generation methods cannot 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 fixed standard values of ease allowance. In this paper, we present a new method for optimizing the estimation of ease allowance of a garment using fuzzy logic and sensory evaluation. Based on the optimized values of ease allowance generated from fuzzy models related to different key body positions and different wearer's movements, we obtain an aggregated ease allowance using the OWA operator. This aggregated result can further improve the wearer's fitting perception of a garment and adjust the compromise between the style of garments and the fitting comfort sensation of wearers. The related weights of the OWA operator are determined according to designer's linguistic criteria on comfort and garment style. The effectiveness of our method has been validated in the design of trousers of jean type. It can be also applied for designing other types of garment.
URI: http://hdl.handle.net/10397/23517
ISSN: 0952-1976
EISSN: 1873-6769
DOI: 10.1016/j.engappai.2008.05.007
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