Inverse neutrosophic mixed graphs

This article successfully attempts to introduce the notion of Inverse Neutrosophic Mixed Graphs (INMG) together with its applications. This novel approach highlights the network modeling of real physical situations with indeterminacy. Here, INMG are developed with both directed and undirected relati...

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Main Authors: Thempaavai Jayaprakash, Antony Cripsin Sweety Charles Selvaraj
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2024-07-01
Series:Journal of Fuzzy Extension and Applications
Subjects:
Online Access:https://www.journal-fea.com/article_199553_ab64545f831bd2e81a8676f02d5f3a1b.pdf
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author Thempaavai Jayaprakash
Antony Cripsin Sweety Charles Selvaraj
author_facet Thempaavai Jayaprakash
Antony Cripsin Sweety Charles Selvaraj
author_sort Thempaavai Jayaprakash
collection DOAJ
description This article successfully attempts to introduce the notion of Inverse Neutrosophic Mixed Graphs (INMG) together with its applications. This novel approach highlights the network modeling of real physical situations with indeterminacy. Here, INMG are developed with both directed and undirected relationships between nodes that express the circumstances where the truth membership degrees of the edges are superior or equivalent to the least of the truth membership degrees of the associated vertices and where false membership and indeterminacy values of the edges are inferior or equivalent to the maximum of false membership and indeterminacy values of the corresponding vertices. Furthermore, some fundamental functions and algebraic characteristics of INMG are examined to attain a profound insight into the properties and applications. To illustrate the application of INMG, the article provides a numerical example centered around social networks. By employing INMG in this context, the article demonstrates how the model can effectively capture and represent the complex relationships within social networks, taking into account the inherent uncertainties and indeterminacies present in such systems.
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institution Kabale University
issn 2783-1442
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language English
publishDate 2024-07-01
publisher Ayandegan Institute of Higher Education,
record_format Article
series Journal of Fuzzy Extension and Applications
spelling doaj-art-946d8b20c9cf4139a0e4a0239a0eada62025-01-30T15:07:12ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532024-07-015339541510.22105/jfea.2024.429140.1356199553Inverse neutrosophic mixed graphsThempaavai Jayaprakash0Antony Cripsin Sweety Charles Selvaraj1Department of Mathematics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.Department of Mathematics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.This article successfully attempts to introduce the notion of Inverse Neutrosophic Mixed Graphs (INMG) together with its applications. This novel approach highlights the network modeling of real physical situations with indeterminacy. Here, INMG are developed with both directed and undirected relationships between nodes that express the circumstances where the truth membership degrees of the edges are superior or equivalent to the least of the truth membership degrees of the associated vertices and where false membership and indeterminacy values of the edges are inferior or equivalent to the maximum of false membership and indeterminacy values of the corresponding vertices. Furthermore, some fundamental functions and algebraic characteristics of INMG are examined to attain a profound insight into the properties and applications. To illustrate the application of INMG, the article provides a numerical example centered around social networks. By employing INMG in this context, the article demonstrates how the model can effectively capture and represent the complex relationships within social networks, taking into account the inherent uncertainties and indeterminacies present in such systems.https://www.journal-fea.com/article_199553_ab64545f831bd2e81a8676f02d5f3a1b.pdfinverse neutrosophic mixed graphinverse fuzzy mixed graphfuzzy mixed graphdirected graphundirected graph
spellingShingle Thempaavai Jayaprakash
Antony Cripsin Sweety Charles Selvaraj
Inverse neutrosophic mixed graphs
Journal of Fuzzy Extension and Applications
inverse neutrosophic mixed graph
inverse fuzzy mixed graph
fuzzy mixed graph
directed graph
undirected graph
title Inverse neutrosophic mixed graphs
title_full Inverse neutrosophic mixed graphs
title_fullStr Inverse neutrosophic mixed graphs
title_full_unstemmed Inverse neutrosophic mixed graphs
title_short Inverse neutrosophic mixed graphs
title_sort inverse neutrosophic mixed graphs
topic inverse neutrosophic mixed graph
inverse fuzzy mixed graph
fuzzy mixed graph
directed graph
undirected graph
url https://www.journal-fea.com/article_199553_ab64545f831bd2e81a8676f02d5f3a1b.pdf
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