• DocumentCode
    2002850
  • Title

    Fuzzy projection pursuit ID3

  • Author

    Miyoshi, Tetsuya ; Ichihashi, Hidetomo ; Tanaka, Futoki

  • Author_Institution
    Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
  • Volume
    3
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    1301
  • Abstract
    We propose a projection pursuit regression (PPR) algorithm based on Quilan´s ID3, in which objects are tested by linear projections of attributes instead of the attribute value itself. Projection pursuit ID3 (PP-ID3) is able to generate simpler decision trees since nodes are represented by linear projections of all attribute values. The other aim of this paper is to analyse the feeling-design relations using the PP-ID3. In order to apply the PP-ID3 for the data about feeling and emotion collected by pairwise comparisons, we further improve the algorithm to deal with pairwise comparison data in the similar way to Guttman´s (1946) method. The relation between design components of T-shirt and adjective words “conspicuous” or “quiet” is analysed with PP-ID3
  • Keywords
    fuzzy logic; fuzzy set theory; inference mechanisms; splines (mathematics); statistical analysis; T-shirt; adjective words; decision trees; feeling-design relations; fuzzy projection pursuit ID3; linear projections; projection pursuit regression algorithm; Decision trees; Fuzzy sets; Industrial engineering; Intrusion detection; Machine learning; Machine learning algorithms; Pursuit algorithms; Space technology; Spline; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.619475
  • Filename
    619475