基于模糊集理论的时尚感官数据形式化

Lichuan Wang, Yan Chen, Y. Wang
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引用次数: 6

摘要

感官工程(SE)被应用于时尚行业,用于市场开拓、消费者行为评价和个性化产品设计。调查和分析了消费者对产品的看法。根据调查分析结果,建立了款式、色彩、形象的时尚感官数据。根据专业知识和消费者偏好,建立了基于模糊集理论的专家系统对服装感官进行描述。所建立的专家系统可用于服装行业的产品设计和流行趋势追踪。给出了模糊逻辑方法在时尚产品感官数据分离与描述中的应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formalization of Fashion Sensory Data Based on Fuzzy Set Theory
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.
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