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浙江大学学报(工学版)
浙江大学学报(工学版)
机械工程     
基于潜在语义分析和感性工学的用户需求匹配
刘征宏1, 谢庆生1, 李少波1,2, 林丽2
1. 贵州大学 现代制造技术教育部重点实验室,贵州 贵阳 550003; 2. 贵州大学 机械工程学院,贵州 贵阳 550025
User needs matching based on latent semantic analysis and kansei engineering
LIU Zheng hong1, XIE Qing sheng1, LI Shao bo1,2, LIN Li2
1. Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang, Guizhou 550003, China; 2. School of Mechanical Engineering, Guizhou University, Guiyang, Guizhou 550025, China
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摘要：

为了更加精确地满足用户需求并提高设计精度,结合潜在语义分析（LSA）和感性工学（KE）,提出基于潜在语义分析和感性工学（LSA KE）的用户需求匹配方法.通过构建RKE模型,获得感性词汇对和设计元素权重；使用RKE模型构建LSA KE语义空间和计算设计方案的感性值,通过用户调查获得用户需求感性值；使用感性工学和LSA KE语义空间匹配用户需求和设计方案,并与匹配结果进行对比.以机床造型设计为案例对该方法进行描述,结果表明该方法能明显提高用户匹配精度.
Abstract:

A new LSA KE approach was presental based on latent semantic analysis (LSA) in order to meet user needs more accurate and improve product design efficiency. LSA was used match terms to documents for document indexing, and kansei engineering (KE) was used to match user needs to designs. A RKE model was created to obtain the KE weights for all design elements and all Kansei word pairs. The KE model was used to establish a LSA KE semantic space and calculate Kansei values for new designs, determine Kansei values for user needs through survey users simultaneously. The KE and the LSA KE semantic space were used to match Kansei values for user needs to Kansei values for new designs. Then the two results were compared. Application process and procedure of the proposed method were described by a case of numerical control machine tools form design. The LSA KE approach was used to match Kansei values for user needs to numerical control machine tools designs for each user. The case study results reveal that the LSA KE approach can significantly improve matching accuracy.
出版日期: 2016-02-01
:  TH 166  
基金资助:

国家自然科学基金资助项目（51475097, 51465007）;国家“十一五”科技支撑计划资助项目（2014BAH05F01）.
通讯作者: 谢庆生，男，教授. ORCID: 0000 0002 6631 4358.     E-mail: 290008933@qq.com
作者简介: 刘征宏（1987—),男，博士生,主要从事先进制造模式及制造信息系统、数字化设计与制造研究. ORCID: 0000 0001 9442 803X. E-mail: zehoo_liu@163.com
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引用本文:

刘征宏, 谢庆生, 李少波, 林丽. 基于潜在语义分析和感性工学的用户需求匹配[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2016.02.005.

LIU Zheng hong, XIE Qing sheng, LI Shao bo, LIN Li. User needs matching based on latent semantic analysis and kansei engineering. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2016.02.005.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2016.02.005    或    http://www.zjujournals.com/eng/CN/Y2016/V50/I2/224

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