Decision Analysis of Optimal Level in Fuzzy Partition Tree

Kimiaki Shinkai; Ei Tsuda; Akihiko Yanai

doi:10.14864/softscis.2006.0.1822.0

SCIS & ISIS 2006

Session ID : SA-C3-3

DOI https://doi.org/10.14864/softscis.2006.0.1822.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

SA-C3 Soft Science

Decision Analysis of Optimal Level in Fuzzy Partition Tree

*Kimiaki Shinkai, Ei Tsuda, Akihiko Yanai

Author information

Keywords: Partition Tree, Fuzzy Decision, Power Mean

CONFERENCE PROCEEDINGS FREE ACCESS

Details

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 interesting how to decide the optimal cutting level as to a partition tree. In this paper, we would not only describe the decision method, but also discuss the approximate analysis of fuzzy graph. Moreover, we would illustrate practical effectiveness through the sociometry analysis.

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