Novel System and Method For Telephone Network Planing Based on Neutrosophic Graph

Ayoub Bahnasse; Mohamed Talea; Assia Bakali

Novel System and Method For Telephone Network Planing Based on Neutrosophic Graph

Ayoub Bahnasse * §

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Mohamed Talea §

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Assia Bakali §

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premsingh.csjm §

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Dr. Florentin Smarandache ‡

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ksantanupatro §

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§ University Hassan II

‡ University of New Mexico

Novel System and Method For Telephone Network Planing Based on Neutrosophic Graph

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Abstract

Telephony is gaining momentum in the daily lives of individuals and in the activities of all companies. With the great trend towards telephony networks, whether analogue or digital known as Voice over IP (VoIP), the number of calls an individual can receive becomes considerably high. However, effective management of incoming calls to subscribers becomes a necessity. Recently, much attention has been paid towards applications of single-valued neutrosophic graphs in various research fields. One of the suitable reason is it provides a generalized representation of fuzzy graphs (FGs) for dealing with human nature more effectively when compared to existing models i.e. intuitionistic fuzzy graphs (IFGs), inter-valued fuzzy graphs (IVFGs) and bipolar-valued fuzzy graphs (BPVFGs) etc. In this paper we focused on precise analysis of useful information extracted by calls received, not received due to some reasons using the properties of SVNGs.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ayoub Bahnasse, Mohamed Talea, Assia Bakali, premsingh.csjm, Dr. Florentin Smarandache, ksantanupatro. 2018. "Novel System and Method For Telephone Network Planing Based on Neutrosophic Graph". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 18 (GJCST Volume 18 Issue E2).

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GJCST Volume 18 Issue E2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Classification

GJCST-E Classification G.2.2

Submission ReceivedDecember 10, 2017
Peer Review Double Blind
Handling Editor
Accepted January 4, 2018
Published May 2, 2018

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v1.2

Issue date

May 2, 2018

Language

English

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Article Matrices

Total Score: 130

Country: Morocco

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Said Broumi, Kifayat Ullah, Assia Bakali, Mohamed Talea, Prem Kumar Singh,Tahir Mahmood, Florentin Smarandache, Ayoub Bahnasse, Santanu Kumar Patro, Angelo de Oliveira (PhD/Dr. count: 0)

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