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A new dynamic programming approach for finding the shortest path length and the corresponding shortest path in a discrete fuzzy network

机译:寻找离散模糊网络中最短路径长度和相应最短路径的新动态规划方法

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摘要

Numerous articles have focused on the fuzzy shortest path problem in a network since it is central to various applications. It purposes to provide a decision maker with the shortest path length and the shortest path in a fuzzy network. In this paper, we propose a dynamic programming approach for fuzzy shortest path problem in a network where each arc length is represented as a discrete fuzzy set. This approach can be used to treat discrete fuzzy shortest path problem without some shortcomings existing in other related researches. A classic example is also included to demonstrate our proposed approach.
机译:由于模糊模糊最短路径问题对于各种应用程序至关重要,因此许多文章都集中讨论了模糊最短路径问题。目的是为决策者提供模糊网络中最短的路径长度和最短的路径。在本文中,我们针对每个弧长表示为离散模糊集的网络中的模糊最短路径问题,提出了一种动态规划方法。该方法可用于处理离散模糊最短路径问题,而没有其他相关研究中存在的不足。还包括一个经典示例来说明我们提出的方法。

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