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Results on t-Fuzzy Graphs.

Authors :
Borzooei, R. A.
Sheikh Hoseini, B.
Mohseni Takallo, M.
Source :
New Mathematics & Natural Computation. Mar2020, Vol. 16 Issue 1, p143-161. 19p.
Publication Year :
2020

Abstract

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]

Details

Language :
English
ISSN :
17930057
Volume :
16
Issue :
1
Database :
Academic Search Index
Journal :
New Mathematics & Natural Computation
Publication Type :
Academic Journal
Accession number :
142298078
Full Text :
https://doi.org/10.1142/S179300572050009X