Sociometry analysis applying fuzzy node fuzzy graph

Hiroaki Uesu, Hajime Yamashita, Michiko Yanai, Masatoshi Tomita

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

2 Citations (Scopus)

Abstract

The sociometry is one of the measurement and evaluation methods of social structure which we could effectively analyze by applying the fuzzy graph theory. We extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. And we transform it to a crisp node fuzzy graph using by T-norm. In this paper, we shall 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.

Original languageEnglish
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
EditorsM.H. Smith, W.A. Gruver, L.O. Hall
Pages369-374
Number of pages6
Volume1
Publication statusPublished - 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC
Duration: 2001 Jul 252001 Jul 28

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CityVancouver, BC
Period01/7/2501/7/28

ASJC Scopus subject areas

  • Computer Science(all)
  • Media Technology

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