C-3-2 Connectivity Indices and Similarity Coefficients for Fuzzy Node Fuzzy Graph(Data Analysis and Education (1))

抄録

Generally, we could efficiently analyze the inexact information and investigate the fuzzy relation by applying the fuzzy graph theory. We would extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. Since a fuzzy node fuzzy graph is complicated to analyze, we would transform it to a simple fuzzy graph by using T-norm family. In addition, to investigate the relations between nodes, we would define the fuzzy contingency table. In this paper, we would discuss about a fuzzy contingency table, entropy measures of fuzziness, connectivity indices and similarity coefficients. By using the fuzzy node fuzzy graph theory, the new T-norm and the fuzzy contingency table, we could clarify the relational structure of fuzzy information.