DocumentCode :
3312143
Title :
Formalization of Fashion Sensory Data Based on Fuzzy Set Theory
Author :
Wang, Li-chuan ; Chen, Yan ; Wang, Ying
Author_Institution :
Dept. of Clothing Design & Eng., Soochow Univ., Suzhou
Volume :
7
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
80
Lastpage :
84
Abstract :
Sensory Engineering (SE) was applied in fashion industry for market exploring, consumer behavior evaluation and personalized product designing. The consumer perceptions on products were investigated and analyzed. The fashion sensory data were established for style, color, image according to the results of investigation and analysis. The expert systems based on fuzzy set theory was developed to describe the sensory on clothing in accordance with professional knowledge and consumer preference. The established expert system could be applied for product designing and fashion trends tracing in garment industry. The example was presented for fuzzy logic method application on separating and describing sensory data of fashion products.
Keywords :
clothing industry; fuzzy logic; fuzzy set theory; product customisation; product design; consumer behavior evaluation; fashion products; fashion sensory; fashion trends tracing; fuzzy logic; fuzzy set theory; garment industry; market exploring; personalized product designing; sensory engineering; Clothing industry; Consumer behavior; Data engineering; Design engineering; Expert systems; Fuzzy set theory; Image analysis; Image color analysis; Information systems; Product design; Sensory Engineering; fashion design; fuzzy set; sensory evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.907
Filename :
4667949
Link To Document :
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