可能性主成分分析(一般講演4)

• 藪内 賢之

  大阪工業大学

• 和多田 淳三

  大阪工業大学

• 中森 義輝

  北陸先端科学技術大学院大学

書誌事項

タイトル別名

• Possibilistic Principal Component Analysis

抄録

In this paper, a fuzzy concept is employed to construct a principal component model which can deal with fuzziness, vagueness or possibility of a system, which is named a possibilistic principal component analysis. The principal component analysis is to analyze a possibility of fuzzy numbers. The possibilistic principal component analysis has three formulations according the portions which the possibilities included in fuzzy numbers are embodied : 1) an eigenvalue, 2) an eigenvector and 3) both eigenvalue and eigenvector. In this paper, we discuss about the first formulation 1) that an eigenvalue is employed to deal with fuzziness of data. The possibilistic principal component analysis is employed in this paper to analyze the features of information technology industry. In this analysis, the financial ratio is employed as indices. And we evaluate the possibility of a company activity in information technology industry.

収録刊行物

• バイオメディカル・ファジィ・システム学会大会講演論文集

  バイオメディカル・ファジィ・システム学会大会講演論文集 11 (0), 41-42, 1998

  バイオメディカル・ファジィ・システム学会

詳細情報

• CRID: 1390001205229815680
• NII論文ID: 110008136079
• DOI: 10.24466/pacbfsa.11.0_41
• ISSN: 24242586
• ISSN: 13451510
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可