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 language | English |
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| Title of host publication | IEEE International Conference on Fuzzy Systems |
| Pages | 873-877 |
| Number of pages | 5 |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2004 |
| Event | 2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest Duration: 2004 Jul 25 → 2004 Jul 29 |
Other
| Other | 2004 IEEE International Conference on Fuzzy Systems - Proceedings |
|---|---|
| City | Budapest |
| Period | 04/7/25 → 04/7/29 |
ASJC Scopus subject areas
- Software
- Safety, Risk, Reliability and Quality
- Chemical Health and Safety