AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Article | Open Access

Unveiling Internet Streaming Services: A Comparison Using Neutrosophic Graphs

Department of Mathematics, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai 600062, India
Show Author Information

Abstract

This paper investigates the inverse of the maximum result obtained by multiplying two unique graph types known as neutrosophic graphs. The main goal is to comprehend a point’s degree in the opposite situation of a neutrosophic graph’s maximum product. The study deals with two particular graph kinds and offers several conclusions and evidence regarding the opposite of the highest product. The research also contains a practical application of these ideas by locating an online streaming service utilizing a neutrosophic graph and a technique known as normalized Hamming distance and normalized Euclidean distance. Finally, the comparison results are given.

References

【1】
【1】
 
 
Fuzzy Information and Engineering
Pages 103-120

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Kaviyarasu M. Unveiling Internet Streaming Services: A Comparison Using Neutrosophic Graphs. Fuzzy Information and Engineering, 2024, 16(2): 103-120. https://doi.org/10.26599/FIE.2024.9150035

881

Views

192

Downloads

1

Crossref

1

Web of Science

1

Scopus

Received: 10 November 2023
Revised: 31 January 2024
Accepted: 28 April 2024
Published: 30 June 2024
© The Author(s) 2024. Published by Tsinghua University Press.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).