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Basic Study of Psychological Analysis about "KANSEI Word"

Basic Study of Psychological Analysis about "KANSEI Word"
“感性词”心理分析基础研究
批准号:
09838028
负责人:
ICHIHASHI Hidetomo
金额:
$1.66万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
1997
资助国家:
日本
项目状态:
已结题
起止时间:
1997 至 1999

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中文摘要
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英文摘要
Image Technology or Kansei Engineering is defined as a translation system of a consumer's image or feeling into real design components. In this research we proposed some methods to analyze consumer's image or feeling for objects or products with respect to "KANSEI word". We developed the collecting. System of data through the Internet and evaluated the efficiency of the proposed methods. Our proposed analyzing methods and their properties are as follows.(1) We proposed projection pursuit regression using pairwise comparison data in the similar way to Guttman's Quantifying method of pairwise comparisons. We collected the data about feeling and emotion, and analyzed the relation between design components of objects with respect to the adjective words "conspicuous" and "quiet" using proposed method.(2) We proposed the convenient fuzzy clustering algorithm using pseudo Mahalanobis distances and maximizing entropy approach, since discreminant analysis with Mahalanobis distances has been eff … More iciently applied to various pattern recognition problems.(3) We proposed an approach to analyze the psychological feeling of consumer in which the Fuzzy c-Means clustering algorithm and correspondence analysis are simultaneously applied. In our clustering algorithm, membership to clusters are determined by considering not only the minimization of distances from cluster centers but also the maximization of correlation ratio between numerical values which are assigned to each category and individual.(4) Strongly nonlinear multi-variate functions hardly bring about insights about the local relationships between inputs and outputs. For the analysis of psychological feelings a weakly nonlinear version of Fuzzy c-Regression Models is applied. The data in each fuzzy cluster is projected in a single dimensional space and latent local weakly nonlinear relationships between independent observations and their corresponding dependent observations can be found.(5) As an empirical experiment, we dealt with "up-to-date" feeling of CI (Corporate Identity) symbol marks, which has similar pattern to Japanese national flag whose design components are the locations of circles relieved in white, and analyzed the impression for the design using the proposed method. Less
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"Neurofuzzy Analysis of Psychological Feelings."Tutorial of 3rd Asian Fuzzy Systems Symposium (AFSS '98). 28-40 (1998)
“心理感受的神经模糊分析。”第三届亚洲模糊系统研讨会(AFSS 98)教程。
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10
    Improvement of fuzzy c-means classifier with respect to precision and functions
    High Performance Classifier Based on Fuzzy Clustering
    • 批准号:
      20500210
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $3.0万
    • 财政年份:
      2008
    • 负责人:
      ICHIHASHI Hidetomo
    • 依托单位: