Neurofuzzy Projection Pursuit Regression for Paired Comparison Data
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- MIYOSHI Tetsuya
- Osaka Prefecture University
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- ICHIHASHI Hidetomo
- Osaka Prefecture University
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- HASEGAWA Yoshifumi
- Osaka Prefecture University
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- SHIMOMURA Takeshi
- Tokiwakai Junior College
Bibliographic Information
- Other Title
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- 一対比較データに対するニューロ・ファジィ射影追跡回帰
- イッツイヒカク データ ニ タイスル ニューロ ファジィ シャエイ ツイセキ
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Description
Kansei engineering is a technology for translating feelings into product design. There are several methods for evaluating psychological responses of human beings, such as the semantic differential(SD) method and pairwise comparison methods. In this paper, a projection pursuit regression method for paired comparison data is proposed, which is based on the membership function of fuzzy set and eigenvector of covariance matrix. The dimensionality of predictors is reduced to one in order for good use of human ability of instantaneous pattern discovery.
Journal
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- Journal of Japan Industrial Management Association
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Journal of Japan Industrial Management Association 48 (4), 174-182, 1997
Japan Industrial Management Association
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Details 詳細情報について
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- CRID
- 1390001205505187200
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- NII Article ID
- 110003945631
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- NII Book ID
- AN10561806
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- ISSN
- 21879079
- 13422618
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- NDL BIB ID
- 4309650
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed