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Fuzzy Shortest Path Problem Based on Levelλ-Triangular LR Fuzzy Numbers

机译:基于水平λ-三角LR模糊数的模糊最短路径问题

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In problems of graphs involving uncertainties, the fuzzy shortest path problem is one of the most studied topics, since it has a wide range of applications in different areas and therefore deserves special attention. In this paper, algorithms are proposed for the fuzzy shortest pathproblem, where the arc length of the network takes imprecise numbers, instead of real numbers, namely, levelλ-triangular LR fuzzy numbers. Few indices defined in this paper help to identify the shortest path in fuzzy environment.
机译:在涉及不确定性的图形问题中,模糊最短路径问题是研究最多的主题之一,因为它在不同领域具有广泛的应用,因此值得特别注意。本文提出了一种模糊最短路径问题的算法,该算法的网络弧长采用不精确的数字,而不是实数,即水平λ三角LR模糊数。本文中定义的索引很少有助于识别模糊环境中的最短路径。

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