Novel neutrosophic cubic graphs structures with application in decision making problems

Gulistan, Muhammad, Ali, Mumtaz, Azhar, Muhammad, Rho, Seungmin and Kadry, Seifedine 2019, Novel neutrosophic cubic graphs structures with application in decision making problems, IEEE access, vol. 7, pp. 94757-94778, doi: 10.1109/access.2019.2925040.

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Title Novel neutrosophic cubic graphs structures with application in decision making problems
Author(s) Gulistan, Muhammad
Ali, MumtazORCID iD for Ali, Mumtaz orcid.org/0000-0002-6975-5159
Azhar, Muhammad
Rho, Seungmin
Kadry, Seifedine
Journal name IEEE access
Volume number 7
Start page 94757
End page 94778
Total pages 22
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2019
ISSN 2169-3536
Keyword(s) Neutrosophic cubic set
Neutrosophic cubic graphs structures
Application
Summary Graphs allow us to study the different patterns of inside the data by making a mental image. The aim of this paper is to develop a neutrosophic cubic graph structure, which is the extension of neutrosophic cubic graphs. As neutrosophic cubic graphs are defined for one set of edges between vertices, while neutrosophic cubic graphs structures are defined for more than one set of edges. Further, we defined some basic operations, such as Cartesian product, composition, union, join, cross product, strong product, and lexicographic product of two neutrosophic cubic graph structures. Several types of other interesting properties of neutrosophic cubic graph structures are discussed in this paper. Finally, a decision-making algorithm based on the idea of neutrosophic cubic graph structures is constructed. The proposed decision-making algorithm is applied in a decision-making problem to check the validity.
Language eng
DOI 10.1109/access.2019.2925040
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128697

Document type: Journal Article
Collection: Faculty of Science, Engineering and Built Environment
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