An automatic KANSEI fuzzy rule creating system using thesaurus

Hajime Hotta, Masafumi Hagiwara

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we propose an automatic Kansei fuzzy rule creating system using thesaurus. In Kansei Engineering, there are a lot of words for the expression of image. However, conventional methods cannot treat these words because H is too difficult to collect enough data of all words. The proposed system is an enhanced algorithm of the conventional method that the authors proposed. A set of fuzzy rules for only one impression word are extracted from the questionnaire responses by the conventional one. With the proposed system, sets of fuzzy rules for many words defined in the dictionary are extracted. The flow of the system consists of 3 steps: (1) calculation of the weights of thesaurus networks; (2) data collection; (3) Extraction of fuzzy rules. Using a Japanese thesaurus dictionary, the sets of fuzzy rules for 1,195 impression words are extracted while the number of registered adjectives In the thesaurus is 2,822. From experimental results, the fuzzy rules extracted by the proposed system obtained higher accuracy than that extracted by the conventional one.

本文言語English
ホスト出版物のタイトル2007 IEEE International Conference on Fuzzy Systems, FUZZY
DOI
出版ステータスPublished - 2007
イベント2007 IEEE International Conference on Fuzzy Systems, FUZZY - London, United Kingdom
継続期間: 2007 7月 232007 7月 26

出版物シリーズ

名前IEEE International Conference on Fuzzy Systems
ISSN(印刷版)1098-7584

Other

Other2007 IEEE International Conference on Fuzzy Systems, FUZZY
国/地域United Kingdom
CityLondon
Period07/7/2307/7/26

ASJC Scopus subject areas

  • ソフトウェア
  • 理論的コンピュータサイエンス
  • 人工知能
  • 応用数学

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