Spanning Tree Problem with Neutrosophic Edge Weights

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Spanning Tree Problem with Neutrosophic Edge Weights
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Book Synopsis Spanning Tree Problem with Neutrosophic Edge Weights by : Said Broumi

Book excerpt: Neutrosophic set and neutrosophic logic theory are renowned theories to deal with complex, not clearly explained and uncertain real life problems, in which classical fuzzy sets/models may fail to model properly. This paper introduces an algorithm for finding minimum spanning tree (MST) of an undirected neutrosophic weighted connected graph (abbr. UNWCG) where the arc/edge lengths are represented by a single valued neutrosophic numbers.


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