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基于模糊算法的服装款式风格数据库构建

Construction of garment style database based on fuzzy algorithm
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摘要 为了量化服装风格,实现服装款式数据库的数字化构建,以连衣裙为例,将服装款式各部件进行拆解,提取有效的服装造型风格影响要素,利用语意差异法、三角模糊数和层次分析法进行建模,以问卷调查和数量化理论进行综合分析,得出风格量化与款式设计要素间的关系,并确立风格特征数字化标准,最终形成8组风格款式数据库(优雅风格-中性风格,职业风格-休闲风格,民族风格-未来风格,混搭风格-极简风格),款式数据库的构建为实现智能化服装款式推荐提供了完善的数据基础。 In order to deal with garment style quantization and establish smart garment style database,this study aims to use intelligent manufacturing techniques to maximize productivity by combining the low unit costs of mass production processes with the flexibility of individual customization.Firstly,this study decomposed all the components of women's dress to extract garment styles.Then,analyzed the garment features with mathematical to define the relationship between garment style and semantic words.Semantic differential,triangular fuzzy number technique,and analytic hierarchy process were also utilized to define the rules of garment style quantization.Through comprehensive analysis of quantitative theory and questionnaire survey,the relationship between the style and the image semantic quantification were obtained.Finally,the eight garment styles database were established,which were elegant-unisex,formal-casual,exotic-futuristic,minimalism-mix-match.This can be considered as the database preparation for smart and flexible manufacturing in the apparel industry.In order to quantify the garment style and realize the digital construction of the garment style database,the dress was taken as an example to disassemble the various parts of the garment style and extract the effective influencing factors of the garment style,semantic difference method,triangular fuzzy number and analytic hierarchy process were used for modeling,and a comprehensive analysis was made by questionnaire survey and quantitative theory.The relationship between style quantification and style design elements was obtained,and the digital standard of style features was established,and 8 groups of style databases were finally formed(elegant-unisex,formal-casual,exotic-futuristic,minimalism-mix-match style).The construction of style database provides a perfect data basis for the realization of intelligent clothing style recommendation.
作者 张颖 ZHANG Ying(College of Textile and Clothing Engineering,Soochow University,Suzhou,Jiangsu 215021,China)
出处 《毛纺科技》 CAS 北大核心 2023年第12期85-91,共7页 Wool Textile Journal
基金 苏州大学人文社会科学研究一般项目(22XM2011)。
关键词 服装风格 款式数据库 风格量化 语意差异法 三角模糊数 garment style garment style database style quantization semantic differential triangular fuzzy number
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