Mathematical analysis of similarity index and connectivity index in fuzzy graph

H. Uesu, E. Tsuda, H. Yamashita

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

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-80
Number of pages4
Volume2003-January
ISBN (Print)0780379187, 9780780379183
DOIs
Publication statusPublished - 2003
Event22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 - Chicago, United States
Duration: 2003 Jul 242003 Jul 26

Other

Other22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003
CountryUnited States
CityChicago
Period03/7/2403/7/26

Keywords

  • Cognition
  • Mathematical analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    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, pp. 77-80). [1226759] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAFIPS.2003.1226759