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Shortest path problem under triangular fuzzy neutrosophic information

机译:三角模糊中智信息下的最短路径问题

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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.
机译:在本文中,我们开发了一种新的方法来处理网络中的中性神经最短路径问题,其中每个边的权重(或长度)都表示为三角模糊中性数。所提出的算法还使用排名函数给出了从源节点到目标节点的最短路径长度。最后,还包括一个说明性示例来说明我们提出的方法。

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