On Strong Interval Valued Neutrosophic Graphs

On Strong Interval Valued Neutrosophic Graphs
Author: Said Broumi
Publisher: Infinite Study
Total Pages: 23
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In this paper, we discuss a subclass of interval valued neutrosophic graphs called strong interval valued neutrosophic graphs, which were introduced by Broumi et al. [41]. The operations of Cartesian product, composition, union and join of two strong interval valued neutrosophic graphs are defined. Some propositions involving strong interval valued neutrosophic graphs are stated and proved.


On Strong Interval Valued Neutrosophic Graphs
Language: en
Pages: 23
Authors: Said Broumi
Categories:
Type: BOOK - Published: - Publisher: Infinite Study

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In this paper, we discuss a subclass of interval valued neutrosophic graphs called strong interval valued neutrosophic graphs, which were introduced by Broumi e
Interval Valued Neutrosophic Graphs
Language: en
Pages: 29
Authors: Said Broumi
Categories:
Type: BOOK - Published: - Publisher: Infinite Study

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The notion of interval valued neutrosophic sets is a generalization of fuzzy sets, intuitionistic fuzzy sets, interval valued fuzzy sets, interval valued intuit
Strong Interval-valued Neutrosophic Intuitionistic Fuzzy Graph
Language: en
Pages: 22
Authors: K. Kalaiarasi
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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In this paper, the strong interval-valued neutrosophic intuitionistic fuzzy graphs are suggest. Cartesian product, composition and clamp of two strong interval-
Interval Valued Neutrosophic Soft Graphs
Language: en
Pages: 34
Authors: Said Broumi
Categories:
Type: BOOK - Published: - Publisher: Infinite Study

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In this article, we combine the interval valued neutrosophic soft set and graph theory. We introduce the notions of interval valued neutrosophic soft graphs, st
Operations on single valued neutrosophic graphs with application
Language: en
Pages: 15
Authors: Sumera Naz
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

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The concepts of graph theory are applied in many areas of computer science including image segmentation, data mining, clustering, image capturing and networking