Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/6077
Title: An intelligent system for supporting design of fashion oriented personalized fabric products
Authors: Agarwal, Gaurav
Koehl, Ludovic
Zeng, Xianyi
Kothari, V K
Keywords: Fabric parameters
Fashion design elements
Fashion images
Fuzzy logic
Mass customization
Issue Date: Sep-2009
Publisher: CSIR
Abstract: An intelligent system for supporting the design of fashion oriented personalized fabric samples has been proposed. Based on fuzzy logic and semantic network, it permits to model the relationship between fabric parameters and fashion design elements via fashion images. This system can effectively help textile producers and designers to determine parameters of new fabrics to be produced according to fashion requirements of garments and predict garment fashion styles for given fabrics. A sensory evaluation on fabric hand has been used to determine fabric parameters of a collection of samples. Principal component analysis has been used to reduce the complexity of the model. A set of fashion images has been selected in order to extract abstract fashion design elements and identify relationship between fabric samples and fashion design elements. This system is helpful for textile companies to realize mass customization, i.e. design and production of personalized products with very low costs
Description: 258-266
URI: http://hdl.handle.net/123456789/6077
ISSN: 0975-1025 (Online); 0971-0426 (Print)
Appears in Collections:IJFTR Vol.34(3) [September 2009]

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