Authors: Said Broumi, Mohamed Talea, Assia Bakali, Florentin Smarandache, Luige VlĂdĂreanu
In this paper, we develop a new approach to deal with neutrosphic shortest path problem in a network in which each edge weight (or length) is represented as triangular fuzzy neutrosophic number. The proposed algorithm also gives the shortest path length from source node to destination node using ranking function. Finally, an illustrative example is also included to demonstrate our proposed approach.
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[v1] 2017-01-11 06:04:50
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