A FUZZY APPROACH FOR FEATURE-BASED PRODUCT STYLE COGNITION

摘要：

This paper initially reviews recent studies of the product style recognition, and tries to investigate the mapping rules between the product features and form styles. In this study, the product components and features were compounded to analyze a products form style. Experimental studies such as the Semantic Differential (SD) method and Cluster method were applied to investigate how the users perceive the products form; and the Morphologic Form method was applied to extract the products features. In this paper, a computing model for feature-based product style recognition was proposed, and one case study of mobile phone was used to illustrate the method.

关键词： form style recognition the Semantic Differential method Cluster analysis product feature extraction

作者: Shangshang Zhu Per Boelskifte Zhun Fan

作者单位: College of arts, Zhejiang University of Technology, China;Department of Mechanical Engineering, Tech Department of Mechanical Engineering, Technical University of Denmark, DTU

会议类型: 国际会议

会议名称: 5th International Conference on e-Engineering & Digital Enterprise Technology(第5届e工程及数字企业国际学术会议)

会议地点: 贵阳

会议语种:英文

页码: 18-22

在线出版日期: 2006-08-16（万方平台首次上网日期，不代表论文的发表时间）