Instruction structure analysis appling fuzzy number

Seiji Saito, Takenobu Takizawa

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

Abstract

Applying fuzzy clustering method to the instruction structure analysis, we can investigate whether the order of teaching item is suitable or not. However, when the teacher gives learners partial points, it is difficult to judge whether the leaner solve the problem correctly or not. In this paper, the authors regard the score of the test as the fuzzy number, and present a new analysis method using fuzzy number. We show some graphs required for analysis based on the results of examination for high school students and represent the effectivity of the method.

Original languageEnglish
Title of host publicationFCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications
EditorsJuan Julian Merelo, Fernando Melicio, Jose M. Cadenas, Antonio Dourado, Kurosh Madani, Antonio Ruano, Joaquim Filipe
PublisherSciTePress
Pages88-92
Number of pages5
ISBN (Electronic)9789897582011
DOIs
Publication statusPublished - 2016
Event8th International Joint Conference on Computational Intelligence, IJCCI 2016 - Porto, Portugal
Duration: 2016 Nov 92016 Nov 11

Publication series

NameIJCCI 2016 - Proceedings of the 8th International Joint Conference on Computational Intelligence
Volume2

Other

Other8th International Joint Conference on Computational Intelligence, IJCCI 2016
CountryPortugal
CityPorto
Period16/11/916/11/11

Keywords

  • Fuzzy Clustering
  • Fuzzy Cognition Graph
  • Fuzzy Graph
  • Fuzzy Number

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Software
  • Computational Theory and Mathematics

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