Author:
Ganati Gamachu Adugna,Repalle V. N. Srinivasa Rao,Ashebo Mamo Abebe
Abstract
Abstract
Objective
A single valued neutrosophic set represented the uncertainty of real life situations in terms of membership $$(t)$$
(
t
)
, indeterminacy $$(i)$$
(
i
)
and non-membership $$(f)$$
(
f
)
degree. However, this uncertainty cannot be limited to those three degrees; there is also an additional refusal degree. For this issue, the Turiyam set is an appropriate tool, which described the neutrosophic refusal degree of this situation as a liberal $$(l)$$
(
l
)
degree in addition to those three degrees. The graphical representation of this situation is required for knowledge processing. For this purpose, the Turiyam graph was introduced as an extension of the single valued neutrosophic graph. This graph is helpful when the depictions of the vertices or their relationships or both, are considered in terms of membership $$(t)$$
(
t
)
, indeterminacy $$(i)$$
(
i
)
, non-membership $$(f)$$
(
f
)
and liberal $$(l)$$
(
l
)
degrees. The goal of this paper is to introduce the degree, order and size in the context of Turiyam graphs and examine a social network (SN) with the help of this graph.
Results
In this regard, the degree, order and size in the context of Turiyam graphs are studied. The feasibility of this Turiyam graph is shown by employing its concept in a social network (SN). Finally, the advantage of the Turiyam graph over the existing graph theories is recognized by viewing its better framework.
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Reference25 articles.
1. Bondy JA, Murty US. Graph theory with applications. London: Macmillan; 1976.
2. Gross JL, Yellen J. Graph theory and its applications. Boca Raton: CRC Press; 2005.
3. Mathew S, Mordeson JN, Malik DS. Fuzzy graph theory. Berlin: Springer International Publishing; 2018.
4. Talebi AA, Kacprzyk J, Rashmanlou H, Sadati SH. A new concept of an intuitionistic Fuzzy graph with applications. J Mult-Val Log Soft Comput. 2020;1:35.
5. Akram M. Single-valued neutrosophic graphs. Singapore: Springer; 2018.