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  • 标题:Advanced Analysis Method for Human Relationship Based on Fuzzy Theory
  • 本地全文:下载
  • 作者:Toshihiro YOSHIZUMI ; Tomoo SUMIDA ; Yasunori SHIONO
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2017
  • 卷号:29
  • 期号:4
  • 页码:637-643
  • DOI:10.3156/jsoft.29.4_637
  • 语种:Japanese
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:

    In this paper, we proposed advanced analytical method so that various analysis is possible. In the past, various analysis methods for human relationships have been proposed. Moreno proposed sociometry analysis and Yamashita et al. proposed an analysis method applying fuzzy graphs to it. Yamashita’s method is to analyze human relationships based on the partition tree. As preconditions for analysis, the nodes belonging to the same similarity in the partition tree are analyzed. In this paper, we provide a method that can analyze nodes belonging to any degree of similarity. Also, depending on the purpose of the analyst, a directed graph, such as a sociogram, may be more effective, or an undirected graph may be more effective. Therefore, there are both merits and demerits to using either method. We also aim to provide a new foundation that can analyze both of the two analysis methods.

  • 关键词:analysis for human relationship;sociometry;sociogram;fuzzy theory;partition tree
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