A characterization of fuzzy trees
Information Sciences: an International Journal
Fuzzy end nodes in fuzzy graphs
Information Sciences: an International Journal
Information Sciences: an International Journal
Types of arcs in a fuzzy graph
Information Sciences: an International Journal
Node connectivity and arc connectivity of a fuzzy graph
Information Sciences: an International Journal
Computers & Mathematics with Applications
Information Sciences: an International Journal
Menger's theorem for fuzzy graphs
Information Sciences: an International Journal
Cycle connectivity in fuzzy graphs
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
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An arc of a fuzzy graph is called strong if its weight is at least as great as the strength of connectedness of its end nodes when it is deleted. An arc is strong iff its weight is equal to the strength of connectedness of its end nodes. A bridge is strong, but a strong arc need not be a bridge. An arc of maximum weight is strong, but a strong arc need not have maximum weight. In a connected graph, there is a strong path (a path consisting of strong arcs) between any two nodes. A fuzzy graph is a fuzzy tree iff there is a unique strong path between any two of its nodes. In a fuzzy tree, an arc is strong iff it is a bridge, and a strong path between two nodes is a path of maximum strength between them.