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A new approach for determining reliability of unmanned vehicles network using fuzzy logic

机译:模糊逻辑确定无人车辆网络可靠性的新方法

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Some interest has recently been shown in determining the reliability of unmanned ground vehicles network. Based on the predicted reliability, a commander can take appropriate action in the battle field operation for unmanned ground vehicles network. The reliability should include coordination and collaboration of a number of different unmanned ground vehicles. Some approaches for determining the reliability of unmanned vehicles have been discussed in the literatures. In this paper, we propose a new algorithm by which the reliability of unmanned ground vehicles network is predicted using fuzzy approach. The approach is different from statistical approaches discussed in previous papers. The algorithm suggested here is based on all simple paths obtained between the terminal nodes of the network in question or the cutset expression of the terminal nodes. Each variable in the Boolean expression obtained from simple path method or from the cutset method will be subjectively assigned a membership grade by an expert in the field. Fuzzy union and fuzzy intersection operations are used to predict the reliability of the network in question. New theorems have been developed to determine the disjoint expression using fuzzy logic. The comparison of this new approach is given with the existing approaches. Further, assuming node reliability and branch reliability one can also predict system reliability of the unmanned ground vehicles network using fuzzy logic.
机译:最近已经显示出对确定无人地面车辆网络的可靠性的兴趣。基于预测的可靠性,指挥官可以在无人地面车辆网络的战场行动中采取适当的措施。可靠性应包括许多不同的无人地面车辆的协调与协作。文献中已经讨论了确定无人驾驶车辆可靠性的一些方法。在本文中,我们提出了一种新的算法,通过该算法可以使用模糊方法预测无人地面车辆网络的可靠性。该方法不同于先前论文中讨论的统计方法。此处建议的算法基于相关网络的终端节点之间或终端节点的割集表达式之间获得的所有简单路径。从简单路径方法或割集方法获得的布尔表达式中的每个变量将由本领域的专家主观地分配为成员资格等级。模糊联合和模糊相交运算用于预测所讨论网络的可靠性。已经开发出新的定理,以使用模糊逻辑确定不相交的表达式。将该新方法与现有方法进行比较。此外,假设节点可靠性和分支可靠性,还可以使用模糊逻辑来预测无人地面车辆网络的系统可靠性。

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