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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.
Ayoub Bahnasse. 2018. \u201cNovel System and Method For Telephone Network Planing Based on Neutrosophic Graph\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 18 (GJCST Volume 18 Issue E2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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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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Publish Date: 2018 05, Wed
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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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