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
Link To Document :
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