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Results on t-Fuzzy Graphs.
- 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