An automatic rule creating method for Kansei data and its application to a font creating system

Hajime Hotta, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a method for creating fuzzy rules of Kansei data automatically. This method consists of 3 steps: (1) Generation of pseudo data of Kansei data by a General Regression Neural Network; (2) Clustering the pseudo data by a Fuzzy ART; (3) Translating each cluster into a fuzzy rule and extracting important rules. In this experiment, we applied this method to "a Japanese font creating system reflecting user's Kansei ." From the result of the experiment, although we have used the same algorithm for drawing font outlines, the system employing our method can reflect Kansei better than the conventional one.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages421-430
Number of pages10
Volume3558 LNAI
Publication statusPublished - 2005
Event2nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005 - Tsukuba, Japan
Duration: 2005 Jul 252005 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3558 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005
CountryJapan
CityTsukuba
Period05/7/2505/7/27

Fingerprint

Fuzzy rules
Fuzzy Rules
Experiments
Neural networks
Experiment
Cluster Analysis
Regression
Clustering
Neural Networks

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Hotta, H., & Hagiwara, M. (2005). An automatic rule creating method for Kansei data and its application to a font creating system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3558 LNAI, pp. 421-430). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3558 LNAI).

An automatic rule creating method for Kansei data and its application to a font creating system. / Hotta, Hajime; Hagiwara, Masafumi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3558 LNAI 2005. p. 421-430 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3558 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hotta, H & Hagiwara, M 2005, An automatic rule creating method for Kansei data and its application to a font creating system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3558 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3558 LNAI, pp. 421-430, 2nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005, Tsukuba, Japan, 05/7/25.
Hotta H, Hagiwara M. An automatic rule creating method for Kansei data and its application to a font creating system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3558 LNAI. 2005. p. 421-430. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Hotta, Hajime ; Hagiwara, Masafumi. / An automatic rule creating method for Kansei data and its application to a font creating system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3558 LNAI 2005. pp. 421-430 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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