Design and Implementation of Computer-Aid Garment Coordination Tool Using Fuzzy Neural Network |
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Authors: | CHEN Bin ZENG Xian-hui DING Yong-sheng |
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Institution: | [1]FashionArt Design Institute, Donghua University, Shanghai201620, China [2]Engineering Research Center of Digitized Textile &Fashion Technology, Ministry of Education, Donghua University, Shanghai 201620, China [3]College of Information Science and Technology, Donghua University, Shanghai 201620, China |
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Abstract: | By modeling the decision-making process of garment coordination of fashion designers, a kind of computer-aid garment coordination using fuzzy neural network was proposed. The Takagi-Sugeno Fuzzy Neural Network (TSFNN) is used to learn the knowledge and rules of fashion designers on garment coordination and calculate the garment coordination satisfaction index (GCSI).The implementation of the computer-aid garment coordination tool is divided into two stages. The first stage is to acquire the knowledge of garment coordination. The second stage is to train and use the fuzzy neural network to conduct garment coordination. Three layers structure were also discussed for developing the system. By applying the computer-aid garment coordination tool into a real fashion-retailing store, the experimental results show the system performs well with choosing a suitable value for screening out the satisfaction coordination pairs. |
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Keywords: | garment coordination garment coordination satisfaction index (GCSI) fuzzy neural network (FNN) |
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