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
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