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  • 标题:ファジィ区間データによる回帰分析( ソフトサイエンス)
  • 本地全文:下载
  • 作者:Mikihiko KONISHI ; Tetsuji OKUDA ; Kiyoji ASAI
  • 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:2004
  • 卷号:16
  • 期号:1
  • 页码:18-25
  • DOI:10.3156/jsoft.16.18
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:When the data is observed by human, there are cases that the data is not always exact or it is difficult to observe the data exactly. In these cases, if we are able to observe the data including vagueness of observers, then its observation becomes easy. Then, in this paper, on the assumption that the observations include human vagueness, we treat the fuzzy interval data including unclear border of intervals. And, we give the processing method of the regression analysis by least square method using fuzzy interval data. But, it is difficult to treat the fuzzy interval data exactly. So, in this paper, we execute the regression analysis apploximately using the representative value of fuzzy interval data which is treated easily. And, the usefulness of our method is illustrated using computer simulation.
  • 关键词:fuzzy interval data ; regression analysis ; correction of the value of moment
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