Results on t-Fuzzy Graphs.

Autor: Borzooei, R. A., Sheikh Hoseini, B., Mohseni Takallo, M.
Předmět:
Zdroj: New Mathematics & Natural Computation; Mar2020, Vol. 16 Issue 1, p143-161, 19p
Abstrakt: It is much more practical to use the t -norm than the minimum in defining the fuzzy graph. Hence, the concept of t -fuzzy graph was introduced by Mordeson et al. in [J. N. Mordeson and S. Mathew, t -norm Fuzzy Graphs, New Mathematics and Natural Computation14(1) (2018) 129–143]. In this paper, we concentrate on the relatively new concept of fuzzy adjacency matrix of that t -fuzzy graphs. The purpose of this paper is to further develop a product of this fuzzy adjacency matrix based on t -fuzzy graphs. Moreover, two kinds of Boolean matrix are defined and relation between Normal Boolean matrix, product of adjacency matrix and 1-level cut Boolean matrix is obtained. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index