@inproceedings{959305b0b288432b81a2bb7a645eb620,
title = "Instruction structure analysis appling fuzzy number",
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.",
keywords = "Fuzzy Clustering, Fuzzy Cognition Graph, Fuzzy Graph, Fuzzy Number",
author = "Seiji Saito and Takenobu Takizawa",
note = "Publisher Copyright: {\textcopyright} Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 8th International Joint Conference on Computational Intelligence, IJCCI 2016 ; Conference date: 09-11-2016 Through 11-11-2016",
year = "2016",
doi = "10.5220/0006050200880092",
language = "English",
series = "IJCCI 2016 - Proceedings of the 8th International Joint Conference on Computational Intelligence",
publisher = "SciTePress",
pages = "88--92",
editor = "Merelo, {Juan Julian} and Fernando Melicio and Cadenas, {Jose M.} and Antonio Dourado and Kurosh Madani and Antonio Ruano and Joaquim Filipe",
booktitle = "FCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications",
}