A decision-making mechanism of network risk control based on grey relation

Meng Li, Wenjing Li, Xiangjian Zeng, Peng Yu, Xue-song Qiu
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引用次数: 2

Abstract

The existing network risk control mechanisms are lack of scientific and normative decision-making and rely too much on subjective judgments, which brings a great uncertainty on network risk management. In this paper, a risk control decision-making mechanism of power data network based on grey relation is put forward, and puts emphasis on the prior risk control based on the prediction results. This mechanism first constructs a matrix of positive and negative ideal measures according to the risk control objective. Then, the grey relation coefficient matrix between the candidate and ideal measures is calculated to evaluate the similarity between measures. Finally, we define the grey relation projection coefficient to evaluate the degree of closeness between the candidate measure and the positive ideal measure and the degree of deviation between the candidate measure and the negative ideal measure. Simulation results show that this mechanism can make timely and accurate decision-making of network risk control measures.
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基于灰色关联的网络风险控制决策机制
现有的网络风险控制机制缺乏科学规范的决策,过于依赖主观判断,给网络风险管理带来了很大的不确定性。本文提出了一种基于灰色关联的电力数据网风险控制决策机制,并强调了基于预测结果的事前风险控制。该机制首先根据风险控制目标构建了正、负理想措施矩阵。然后,计算候选测度与理想测度之间的灰色关联系数矩阵,评价测度之间的相似性;最后,定义灰色关联投影系数来评价候选测度与正理想测度的接近程度以及候选测度与负理想测度的偏离程度。仿真结果表明,该机制能够对网络风险控制措施做出及时、准确的决策。
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