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Fashion products contain lots of sensory information, such as style, color, matching of clothing and accessories, etc. Sensory Engineering is applied as an approach for garment industry to improve service of CRM (customer resource management), to provide personalized design frame work, to establish fashion E-retail and decision support system. It can be used for quality inspection, product design and marketing of fashion products. Although accounts of researches have acquired quite achievement on mathematical formalization of sensory data, the models for of clothing and accessories are still not established. In this research, several methods were designed to establish the models for matching sensory of fashion image data based on fuzzy logic theory. The sensory data used in this research were collected according to consumer preferences and the fuzzy logical rules were generated from expert knowledge.