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Strong sum distance in fuzzy graphs

In this paper the idea of strong sum distance which is a metric, in a fuzzy graph is introduced. Based on this metric the concepts of eccentricity, radius, diameter, center and self centered fuzzy graphs are studied. Some properties of eccentric nodes, peripheral nodes and central nodes are obtained...

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Detalles Bibliográficos
Autores principales: Tom, Mini, Sunitha, Muraleedharan Shetty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499336/
https://www.ncbi.nlm.nih.gov/pubmed/26185736
http://dx.doi.org/10.1186/s40064-015-0935-5
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author Tom, Mini
Sunitha, Muraleedharan Shetty
author_facet Tom, Mini
Sunitha, Muraleedharan Shetty
author_sort Tom, Mini
collection PubMed
description In this paper the idea of strong sum distance which is a metric, in a fuzzy graph is introduced. Based on this metric the concepts of eccentricity, radius, diameter, center and self centered fuzzy graphs are studied. Some properties of eccentric nodes, peripheral nodes and central nodes are obtained. A characterisation of self centered complete fuzzy graph is obtained and conditions under which a fuzzy cycle is self centered are established. We have proved that based on this metric, an eccentric node of a fuzzy tree G is a fuzzy end node of G and a node is an eccentric node of a fuzzy tree if and only if it is a peripheral node of G and the center of a fuzzy tree consists of either one or two neighboring nodes. The concepts of boundary nodes and interior nodes in a fuzzy graph based on strong sum distance are introduced. Some properties of boundary nodes, interior nodes and complete nodes are studied.
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spelling pubmed-44993362015-07-16 Strong sum distance in fuzzy graphs Tom, Mini Sunitha, Muraleedharan Shetty Springerplus Research In this paper the idea of strong sum distance which is a metric, in a fuzzy graph is introduced. Based on this metric the concepts of eccentricity, radius, diameter, center and self centered fuzzy graphs are studied. Some properties of eccentric nodes, peripheral nodes and central nodes are obtained. A characterisation of self centered complete fuzzy graph is obtained and conditions under which a fuzzy cycle is self centered are established. We have proved that based on this metric, an eccentric node of a fuzzy tree G is a fuzzy end node of G and a node is an eccentric node of a fuzzy tree if and only if it is a peripheral node of G and the center of a fuzzy tree consists of either one or two neighboring nodes. The concepts of boundary nodes and interior nodes in a fuzzy graph based on strong sum distance are introduced. Some properties of boundary nodes, interior nodes and complete nodes are studied. Springer International Publishing 2015-05-06 /pmc/articles/PMC4499336/ /pubmed/26185736 http://dx.doi.org/10.1186/s40064-015-0935-5 Text en © Tom et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Tom, Mini
Sunitha, Muraleedharan Shetty
Strong sum distance in fuzzy graphs
title Strong sum distance in fuzzy graphs
title_full Strong sum distance in fuzzy graphs
title_fullStr Strong sum distance in fuzzy graphs
title_full_unstemmed Strong sum distance in fuzzy graphs
title_short Strong sum distance in fuzzy graphs
title_sort strong sum distance in fuzzy graphs
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499336/
https://www.ncbi.nlm.nih.gov/pubmed/26185736
http://dx.doi.org/10.1186/s40064-015-0935-5
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