Learning structure analysis system applying fuzzy theory

Hiroaki Uesu, Hajime Yamashita, Kimiaki Shinkai, Shuya Kanagawa, Ikuo Kitagaki, Sadayasu Shibata

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

6 Citations (Scopus)

Abstract

The inexact phenomena such as the mental process and cognition would effectively be analyzed by using the fuzzy graph. In this paper, we would explain about the learning structure analysis system by applying fuzzy graph, present its practical case study and the effectiveness.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004
Editors Kinshuk, C.-K. Looi, E. Sutinen, D. Sampson, I. Aedo, L. Uden, E. Kaehkoenen
Pages890-891
Number of pages2
DOIs
Publication statusPublished - 2004
EventProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004 - Joensuu
Duration: 2004 Aug 302004 Sep 1

Other

OtherProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004
CityJoensuu
Period04/8/3004/9/1

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Uesu, H., Yamashita, H., Shinkai, K., Kanagawa, S., Kitagaki, I., & Shibata, S. (2004). Learning structure analysis system applying fuzzy theory. In Kinshuk, C-K. Looi, E. Sutinen, D. Sampson, I. Aedo, L. Uden, & E. Kaehkoenen (Eds.), Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004 (pp. 890-891) https://doi.org/10.1109/ICALT.2004.1357706