Mathematical analysis of similarity index and connectivity index in fuzzy graph

H. Uesu; E. Tsuda; H. Yamashita

doi:10.1109/NAFIPS.2003.1226759

Mathematical analysis of similarity index and connectivity index in fuzzy graph

H. Uesu, E. Tsuda, H. Yamashita

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研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

We often represent the inexact phenomena regarding mental process and cognition as fuzzy graphs. If we investigate the cluster and the order of the nodes in the fuzzy graph, we have a lot of interesting results. For this purpose we define the similarity Index and the connectivity Index. In this paper, we would discuss the definition of the indices and its properties.

本文言語	English
ホスト出版物のタイトル	Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	77-80
ページ数	4
巻	2003-January
ISBN（印刷版）	0780379187, 9780780379183
DOI	https://doi.org/10.1109/NAFIPS.2003.1226759
出版ステータス	Published - 2003
イベント	22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 - Chicago, United States 継続期間: 2003 7月 24 → 2003 7月 26

Other

Other	22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003
国/地域	United States
City	Chicago
Period	03/7/24 → 03/7/26

ASJC Scopus subject areas

コンピュータサイエンス（全般）
数学 (全般)

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10.1109/NAFIPS.2003.1226759

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引用スタイル

Uesu, H, Tsuda, E & Yamashita, H 2003, Mathematical analysis of similarity index and connectivity index in fuzzy graph. in Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. vol. 2003-January, 1226759, Institute of Electrical and Electronics Engineers Inc., pp. 77-80, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003, Chicago, United States, 03/7/24. https://doi.org/10.1109/NAFIPS.2003.1226759

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abstract = "We often represent the inexact phenomena regarding mental process and cognition as fuzzy graphs. If we investigate the cluster and the order of the nodes in the fuzzy graph, we have a lot of interesting results. For this purpose we define the similarity Index and the connectivity Index. In this paper, we would discuss the definition of the indices and its properties.",

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AB - We often represent the inexact phenomena regarding mental process and cognition as fuzzy graphs. If we investigate the cluster and the order of the nodes in the fuzzy graph, we have a lot of interesting results. For this purpose we define the similarity Index and the connectivity Index. In this paper, we would discuss the definition of the indices and its properties.

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M3 - Conference contribution

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BT - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

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T2 - 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003

Y2 - 24 July 2003 through 26 July 2003

ER -

Mathematical analysis of similarity index and connectivity index in fuzzy graph

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