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Some Properties of Fuzzy Distance two Labeling Graph

Anuj Kumar1 , P. Pradhan2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 769-775, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.769775

Online published on May 31, 2019

Copyright © Anuj Kumar, P. Pradhan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anuj Kumar, P. Pradhan, “Some Properties of Fuzzy Distance two Labeling Graph,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.769-775, 2019.

MLA Style Citation: Anuj Kumar, P. Pradhan "Some Properties of Fuzzy Distance two Labeling Graph." International Journal of Computer Sciences and Engineering 7.5 (2019): 769-775.

APA Style Citation: Anuj Kumar, P. Pradhan, (2019). Some Properties of Fuzzy Distance two Labeling Graph. International Journal of Computer Sciences and Engineering, 7(5), 769-775.

BibTex Style Citation:
@article{Kumar_2019,
author = {Anuj Kumar, P. Pradhan},
title = {Some Properties of Fuzzy Distance two Labeling Graph},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {769-775},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4312},
doi = {https://doi.org/10.26438/ijcse/v7i5.769775}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.769775}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4312
TI - Some Properties of Fuzzy Distance two Labeling Graph
T2 - International Journal of Computer Sciences and Engineering
AU - Anuj Kumar, P. Pradhan
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 769-775
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Graph theoretical concepts are hugely used by the applications of computer science. Especially in research areas of computer science such as networking, image capturing, data mining, image segmentation etc. Fuzzy labeling graphs produce more precision, flexibility, and compatibility to the system compared to the classical and fuzzy graphs. They have large number of applications in Physics, Chemistry, Computer Science, and other branches of mathematics. In this paper a new concept of fuzzy distance two labeling is introduced. Some properties related to product fuzzy graph and fuzzy distance two labeling graph have been discussed. This paper also considers the properties of fuzzy distance two labeling circular graph with appropriate explanation.

Key-Words / Index Term

Fuzzy distance two labeling graph, product fuzzy graph, fuzzy bridge and fuzzy cut node, fuzzy circular graph

References

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