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机构地区:[1]浙江大学计算机科学与技术学院,浙江杭州310027 [2]浙江大学理学院数学系,浙江杭州310027
出 处:《计算机集成制造系统》2008年第6期1063-1069,共7页Computer Integrated Manufacturing Systems
基 金:国家863计划资助项目(2004AA1Z2390)。~~
摘 要:为得到尽可能高的用户喜好度,基于产品语意关联机制,提出了一种获取产品语意和产品特征的设计方法。应用语意差异法、因子分析、聚类分析和形态分析技术,获取了常规的产品语意及产品特征,在此基础上,特别采用了回归树技术建立用户喜好度最高的产品语意关联,并用分类树技术获取所建产品语意关联相对应的产品特征。将该方法应用于太阳镜设计,其用户喜好度达到2.89,得到了用户喜好度高的设计方案,有望广泛应用于时尚类产品中。To achieve a user preference value as high as possible, a design approach to obtain Product Semantics (PS) and Product Characteristics (PC) was proposed based on the Product Semantics Relationship (PSR) mechanism. Ordinary PC and PS were obtained by employing many technologies, including semantic differential method, factor analysis, cluster analysis and shape analysis. With the proposed method, regression tree technology was particularly used to achieve the user's most satisfactory PSR. This PSR-related PC was also specifically obtained by classification tree technology. The presented method was applied to the design of sun glasses, and a scheme's preference value reached as high as 2.89. Owing to its high preference value, this design approach could be expected to gain widespread application in the fashion product design.
分 类 号:TP182[自动化与计算机技术—控制理论与控制工程]
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