DocumentCode :
2739193
Title :
Decision Analysis of Fuzzy Partition Tree Applying Fuzzy Theory
Author :
Shinkai, Kimiaki ; Yamashitar, Hajime ; Kanagawa, Shuya
Author_Institution :
Waseda Univ. Tokyo, Tokyo
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
393
Lastpage :
393
Abstract :
We often use fuzzy graph to analyze inexact information such as instruction/cognition sequence, sociometric structure, opinion poll and so on. Concerning the cluster analysis of a fuzzy graph, it is important to decide the optimal cutting level as to a partition tree. In this paper, we would not only discuss our decision analysis of partition tree, but also we would illustrate its practical effectiveness through the sociometry analysis.
Keywords :
fuzzy set theory; graph theory; fuzzy graph; fuzzy partition tree; fuzzy theory; sociometry analysis; Arithmetic; Cognition; Decision feedback equalizers; Information analysis; Statistical analysis; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.236
Filename :
4428035
Link To Document :
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