We also provide a comparative analysis with the existing method given in [4].
📌 3 Key Takeaways
🎯
Objective & Hypothesis:This study is designed with the renewed concept of neutrosophic soft graph (briefly ns-graph) which is a combination of graphs and neutrosophic soft sets.
📊
Key Findings & Data:We re-define notions of ns-graphs and ns-subgraphs with the different perspective from the study in [4].
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Conclusion & Impact:We also provide a comparative analysis with the existing method given in [4].
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Neutrosophic soft set · graf · neutrosophic soft graph
Abstract
This study is designed with the renewed concept of neutrosophic soft graph (briefly ns-graph) which is a combination of graphs and neutrosophic soft sets. We re-define notions of ns-graphs and ns-subgraphs with the different perspective from the study in [4]. Also, we introduce some new operations on ns-graphs and detailed them with convenient examples. Moreover, we present an application of ns-graphs to determine of optimal object by using given data with the help of an algorithm. This algorithm we developed is new inventiveness domain for problems which are involving uncertainty, and effectively finds the optimal result between the states where vagueness exists. We also provide a comparative analysis with the existing method given in [4].
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