Formalization of Fashion Sensory Data Based on Fuzzy Set Theory

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.