MODERN STATISTICAL ANALYSIS TECHNIQUES FOR KANSEI ENGINEERING

摘要：

Multivariate analyses play crucial roles in Kansei engineering. Two methods, Principal Component Analysis and Quantification Theory type I have been commonly used for Kansei engineering. PCA is used for unveiling structure of Kansei. QT I is applied for estimating relations between design element variations and Kansei evaluations. Recent development of multivariate analysis and growing computing power of personal computers enable to analyzing larger and complicated Kansei evaluation data. In this paper, we introduce Partial Least Square regression, Non-parametric regression and Quantification theory type III. In addition, Kansei analysis examples are provided.

关键词： kansei engineering kansei analysis multivariate analysis partial least squares non-parametric regression quantification theory type iii

作者: Shigekazu Ishihara Keiko Ishihara Mitsuo Nagamachi

作者单位: Hiroshima International University, 555-36, Kurose-Gakuendai,Higashi-Hiroshima, 739-0043, Japan

会议类型: 国际会议

会议名称: The Tneth International Conference on Industrial Management(第十届工业管理国际会议 ICIM 2010)

会议地点: 北京

会议语种:英文

页码: 695-702

在线出版日期: 2010-09-16（万方平台首次上网日期，不代表论文的发表时间）