Approximate analysis of fuzzy node fuzzy graph and its application

Hiroaki Uesu; Hajime Yamashita; Hiroshi Suda; Kimiaki Shinkai

doi:10.1109/FUZZY.2004.1375519

Approximate analysis of fuzzy node fuzzy graph and its application

Hiroaki Uesu^*, Hajime Yamashita, Hiroshi Suda, Kimiaki Shinkai

^*この研究の対応する著者

グローバルエデュケーションセンター

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

By applying the fuzzy graph theory, we could analyze the inexact information efficiently and investigate the fuzzy relation by fuzzy graph. We extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. And we transform it to a crisp node fuzzy graph by using T-norm family. In this paper, we would explain a fuzzy node fuzzy graph, and propose new T-norm family "quasi logical product". By using this new T-norm, we could reasonably transform the fuzzy node fuzzy graph to the crisp node fuzzy graph. Moreover, we would illustrate its effectiveness through the sociometry analysis.

本文言語	English
ホスト出版物のタイトル	IEEE International Conference on Fuzzy Systems
ページ	873-877
ページ数	5
巻	2
DOI	https://doi.org/10.1109/FUZZY.2004.1375519
出版ステータス	Published - 2004
イベント	2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest 継続期間: 2004 7月 25 → 2004 7月 29

Other

Other	2004 IEEE International Conference on Fuzzy Systems - Proceedings
City	Budapest
Period	04/7/25 → 04/7/29

ASJC Scopus subject areas

ソフトウェア
安全性、リスク、信頼性、品質管理
化学的な安全衛生

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10.1109/FUZZY.2004.1375519

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title = "Approximate analysis of fuzzy node fuzzy graph and its application",

abstract = "By applying the fuzzy graph theory, we could analyze the inexact information efficiently and investigate the fuzzy relation by fuzzy graph. We extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. And we transform it to a crisp node fuzzy graph by using T-norm family. In this paper, we would explain a fuzzy node fuzzy graph, and propose new T-norm family {"}quasi logical product{"}. By using this new T-norm, we could reasonably transform the fuzzy node fuzzy graph to the crisp node fuzzy graph. Moreover, we would illustrate its effectiveness through the sociometry analysis.",

author = "Hiroaki Uesu and Hajime Yamashita and Hiroshi Suda and Kimiaki Shinkai",

year = "2004",

doi = "10.1109/FUZZY.2004.1375519",

language = "English",

isbn = "0780383532",

volume = "2",

pages = "873--877",

booktitle = "IEEE International Conference on Fuzzy Systems",

note = "2004 IEEE International Conference on Fuzzy Systems - Proceedings ; Conference date: 25-07-2004 Through 29-07-2004",

}

TY - GEN

T1 - Approximate analysis of fuzzy node fuzzy graph and its application

AU - Uesu, Hiroaki

AU - Yamashita, Hajime

AU - Suda, Hiroshi

AU - Shinkai, Kimiaki

PY - 2004

Y1 - 2004

N2 - By applying the fuzzy graph theory, we could analyze the inexact information efficiently and investigate the fuzzy relation by fuzzy graph. We extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. And we transform it to a crisp node fuzzy graph by using T-norm family. In this paper, we would explain a fuzzy node fuzzy graph, and propose new T-norm family "quasi logical product". By using this new T-norm, we could reasonably transform the fuzzy node fuzzy graph to the crisp node fuzzy graph. Moreover, we would illustrate its effectiveness through the sociometry analysis.

AB - By applying the fuzzy graph theory, we could analyze the inexact information efficiently and investigate the fuzzy relation by fuzzy graph. We extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. And we transform it to a crisp node fuzzy graph by using T-norm family. In this paper, we would explain a fuzzy node fuzzy graph, and propose new T-norm family "quasi logical product". By using this new T-norm, we could reasonably transform the fuzzy node fuzzy graph to the crisp node fuzzy graph. Moreover, we would illustrate its effectiveness through the sociometry analysis.

UR - http://www.scopus.com/inward/record.url?scp=11144330648&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11144330648&partnerID=8YFLogxK

U2 - 10.1109/FUZZY.2004.1375519

DO - 10.1109/FUZZY.2004.1375519

M3 - Conference contribution

AN - SCOPUS:11144330648

SN - 0780383532

VL - 2

SP - 873

EP - 877

BT - IEEE International Conference on Fuzzy Systems

T2 - 2004 IEEE International Conference on Fuzzy Systems - Proceedings

Y2 - 25 July 2004 through 29 July 2004

ER -

Approximate analysis of fuzzy node fuzzy graph and its application

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