Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26106
Title: Learning- based fuzzy colour prediction system for more effective apparel design
Authors: Hui, C  
Lau, TW
Ng, S  
Chan, CC 
Keywords: Computer aided design
Clothing
Control systems
Predictive process
Issue Date: 2005
Publisher: Emerald Group Publishing Limited
Source: International journal of clothing science and technology, 2005, v. 17, no. 5, p. 335-348 How to cite?
Journal: International journal of clothing science and technology 
Abstract: Purpose – This paper aims to design and develop a learning‐based fuzzy colour prediction system for providing more effective apparel design in computer‐aided design system.
Design/methodology/approach – In this study, we propose using a fuzzy system integrated with preliminary knowledge of colour prediction for facilitating apparel design. The performance of the proposed system is evaluated in terms of its computational efficiency and robustness. In addition, the proposed system is evaluated by target group of customers.
Findings – It was found that the performance of the proposed system is better than the traditional approach.
Research limitations/implications – Although the proposed system has some limitations, the outcome of this study could be used to produce a future breakthrough in providing an intelligent computer‐aided design system for apparel product.
Originality/value – Using such an approach, an apparel designer could predict the favourite colours of garment for a target group of customers. The system uses preliminary knowledge about the customers' profiles and evaluations. Such fuzzy approach for colour prediction is established, which is not used in a traditional way in apparel design.
URI: http://hdl.handle.net/10397/26106
ISSN: 0955-6222
EISSN: 1758-5953
DOI: 10.1108/09556220510616192
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

10
Citations as of Oct 17, 2017

WEB OF SCIENCETM
Citations

8
Last Week
0
Last month
0
Citations as of Oct 18, 2017

Page view(s)

64
Last Week
2
Last month
Checked on Oct 16, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.