Approximate analysis of fuzzy node fuzzy graph and its application

Hiroaki Uesu, Hajime Yamashita, Hiroshi Suda, Kimiaki Shinkai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages873-877
Number of pages5
Volume2
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest
Duration: 2004 Jul 252004 Jul 29

Other

Other2004 IEEE International Conference on Fuzzy Systems - Proceedings
CityBudapest
Period04/7/2504/7/29

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

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  • Cite this

    Uesu, H., Yamashita, H., Suda, H., & Shinkai, K. (2004). Approximate analysis of fuzzy node fuzzy graph and its application. In IEEE International Conference on Fuzzy Systems (Vol. 2, pp. 873-877) https://doi.org/10.1109/FUZZY.2004.1375519