Sociometry analysis applying fuzzy node fuzzy graph

被引：0

作者：

Uesu, H ^{[1
]}

Yamashita, H ^{[1
]}

Yanai, M ^{[1
]}

Tomita, M ^{[1
]}

机构：

[1] Waseda Univ, Kita Ku, Tokyo 169, Japan

来源：

JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5 | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：369 / 374

页数：6