基于灰色关联的网络性能模糊评估

随着网络规模的不断扩大,对IP网络性能进行评估可以指导网络设计并为改进网络运行状况提供支持。针对模糊法、投影寻踪法的不足,提出了一种新的灰色模糊网络性能评估方法。首先选取了影响网络性能的5个关键指标,利用灰色关联分析得到各评估指标的关联度,进行归一化处理后作为指标权重集,然后构建了指标集到评语集的模糊关系矩阵,进行模糊运算后,最终完成对7个网络对象的性能评估和排序。与灰色关联、TOPSIS以及投影寻踪法进行对比后发现,利用文中算法,评估结果中体现了指标的内在关联性,算法权重确定更为客观,并给出了网络性能的具体分值。文中算法简单,为网络性能评估提供了一种新的思路。

Network Performance Fussy Evaluation Based on Grey Correlation

With the continuous expansion of network scale, evaluating the performance of IP network can help guide network design and provide support for improving the operation of the network. Aimed at the shortcomings of the fussy method and projection pursuit method, a new grey fussy evaluation method is put forward. Five key indexes to influencing the network performance are selected firstly, and the correlation degree of each evaluation index is obtained by using grey relational analysis, which is used as index weight set through normalizing. And the fussy relationship matrix of index set to the comments set is constructed after the fussy calculation is performed, finally the performance evaluation and the ranking of the seven networks are completed. Compared with grey correlation, TOPSIS and projection pursuit method, the result shows that the inner relationship of index is reflected in the results of evaluation, the algorithm is more objective in determining the weight and the specific value of network performance is given. The algorithm is simple, and provides a new idea for the network performance evaluation.