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  • 标题:Customer Preference-Based Information Retrieval to Build Module Concepts
  • 本地全文:下载
  • 作者:Dongxing Cao ; Mandun Zhang ; Zhanjun Li
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2013
  • 卷号:2013
  • DOI:10.1155/2013/536820
  • 出版社:Sage Publications Ltd.
  • 摘要:Preference is viewed as an outer feeling of a product, also as a reflection of human's inner thought. It dominates the designers’ decisions and affects our purchase intention. In the paper, a model of preference elicitation from customers is proposed to build module concepts. Firstly, the attributes of customer preference are classified in a hierarchy and make the surveys to build customer preference concepts. Secondly, the documents or catalogs of design requirements, perhaps containing some textual description and geometric data, are normalized by using semantic expressions. Some semantic rules are developed to describe low-level features of customer preference to construct a knowledge base of customer preference. Thirdly, designers’ needs are used to map customer preference for generating module concepts. Finally, an empirical study of the stapler is surveyed to illustrate the validity of module concept generation.
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