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
    PublisherSciTePress
    Pages88-92
    Number of pages5
    Volume2
    ISBN (Electronic)9789897582011
    Publication statusPublished - 2016
    Event8th International Joint Conference on Computational Intelligence, IJCCI 2016 - Porto, Portugal
    Duration: 2016 Nov 92016 Nov 11

    Other

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

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    Keywords

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

    ASJC Scopus subject areas

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

    Cite this

    Saito, S., & Takizawa, T. (2016). Instruction structure analysis appling fuzzy number. In FCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications (Vol. 2, pp. 88-92). SciTePress.