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基于主成分-灰色关联度的男包CMF设计研究 被引量:1

Research on CMF Design of Men's Bags Based on Principal Component-Grey Relativity Degree
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摘要 为了优化男性用户对商务手提包外观设计的感性需求,探讨了男包色彩、材质、工艺(color-material-finishing,CMF)之间的灰色关联特性。通过调研选取典型男士商务手提包,确定代表性样本与目标感性词汇。运用李克特量表量化用户对产品的感性需求,采用主成分分析法得到色彩、材质、工艺各意象因子综合排名。并利用灰色关联度对组合因子进行耦合关联分析,建立目标主题下设计关联建议表,以指导目标产品设计,提升用户与产品感性意象之间的匹配度。 In order to optimize the perceptual needs of male users for the appearance design of business handbags, the grey correlation characteristics among color, material and finishing(CMF) of men’s handbags were discussed. Through the research, the typical men’s business handbags were selected to determine the representative samples and target perceptual vocabulary. Using Likert scale to quantify users’ perceptual demand for products, the comprehensive ranking of image factors of color, material and technology was obtained by principal component analysis. The grey correlation degree was used to analyze the coupling correlation of the combination factors, and the design correlation suggestion table under the target theme was established to guide the target product design and improve the matching degree between users and product perceptual images.
作者 贺雪梅 桑钦 廉柯 HE Xue-mei;SANG Qin;LIAN Ke(College of Art and Design,Shaanxi University of Science&Technology,Xi'an 710021,China;College of Electrical and Control Engineering Shaanxi University of Science&Technology,Xi'an 710021,China)
出处 《中国皮革》 CAS 2022年第7期146-151,共6页 China Leather
基金 教育部人文社会科学研究规划基金(17YJAZH100) 陕西科技大学博士启动基金(2017BJ-28) 陕西省科技厅项目(2019GY-077)。
关键词 主成分分析 灰色关联度 感性意象 男包 principal component analysis grey relativity kansei image men’s bag
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