Decision analysis of fuzzy partition tree applying AIC and fuzzy decision

Kimiaki Shinkai; Shuya Kanagawa; Takenobu Takizawa; Hajime Yamashita

doi:10.1007/978-3-540-85567-5_71

Decision analysis of fuzzy partition tree applying AIC and fuzzy decision

Kimiaki Shinkai^*, Shuya Kanagawa, Takenobu Takizawa, Hajime Yamashita

^*Corresponding author for this work

School of Political Science and Economics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We often use fuzzy graph to analyze inexact information such as sociogram structure ([1] and [2]). Concerning the hierarchical cluster analysis of a fuzzy graph ([3], [4] and [5] ), the number of clusters may have to be decided in the actual cluster analysis. In other word, we woud like to decide the optimal level with a partition tree. Concerning this problem, while AIC method in statistical analysis has been designed by us ([6] and [10]), we will now propose a fuzzy decision method which is based on the evaluation function paying attention to the size and number of clusters at each level.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
Publisher	Springer Verlag
Pages	572-579
Number of pages	8
Edition	PART 3
ISBN (Print)	3540855661, 9783540855668
DOIs	https://doi.org/10.1007/978-3-540-85567-5_71
Publication status	Published - 2008
Event	12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia Duration: 2008 Sept 3 → 2008 Sept 5

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	5179 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Country/Territory	Croatia
City	Zagreb
Period	08/9/3 → 08/9/5

Keywords

AIC (Akaike's information criterion)
Fuzzy decision
Fuzzy graph
Optimal level
Partition tree

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-85567-5_71

Cite this

Shinkai, K., Kanagawa, S., Takizawa, T., & Yamashita, H. (2008). Decision analysis of fuzzy partition tree applying AIC and fuzzy decision. In Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings (PART 3 ed., pp. 572-579). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5179 LNAI, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-540-85567-5_71

Decision analysis of fuzzy partition tree applying AIC and fuzzy decision. / Shinkai, Kimiaki; Kanagawa, Shuya; Takizawa, Takenobu et al.
Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3. ed. Springer Verlag, 2008. p. 572-579 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5179 LNAI, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shinkai, K, Kanagawa, S, Takizawa, T & Yamashita, H 2008, Decision analysis of fuzzy partition tree applying AIC and fuzzy decision. in Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 5179 LNAI, Springer Verlag, pp. 572-579, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, Zagreb, Croatia, 08/9/3. https://doi.org/10.1007/978-3-540-85567-5_71

Shinkai K, Kanagawa S, Takizawa T, Yamashita H. Decision analysis of fuzzy partition tree applying AIC and fuzzy decision. In Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3 ed. Springer Verlag. 2008. p. 572-579. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-540-85567-5_71

Shinkai, Kimiaki ; Kanagawa, Shuya ; Takizawa, Takenobu et al. / Decision analysis of fuzzy partition tree applying AIC and fuzzy decision. Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 3. ed. Springer Verlag, 2008. pp. 572-579 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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Decision analysis of fuzzy partition tree applying AIC and fuzzy decision

Abstract

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Keywords

ASJC Scopus subject areas

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