DocumentCode :
1926443
Title :
Learning structure analysis system applying fuzzy theory
Author :
Uesu, Hiroaki ; Yamashita, Hajime ; Shinkai, Kimiaki ; Kanagawa, Shuya ; Kitagaki, Ikuo ; Shibata, Sadayasu
Author_Institution :
Waseda Univ., Tokyo, Japan
fYear :
2004
fDate :
30 Aug.-1 Sept. 2004
Firstpage :
890
Lastpage :
891
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.
Keywords :
cognition; fuzzy set theory; graph theory; cognition; fuzzy graph; fuzzy theory; learning structure analysis system; mental process; Approximation algorithms; Classification tree analysis; Cognition; Data analysis; Education; Fuzzy systems; Performance analysis; Sprites (computer); Testing; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
Print_ISBN :
0-7695-2181-9
Type :
conf
DOI :
10.1109/ICALT.2004.1357706
Filename :
1357706
Link To Document :
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