Network Performance Fussy Evaluation Based on Grey Correlation
ZHONG Yun
XIA Jing-bo
WU Ji-xiang
BAI Jun
ZHANG Yi-bo
Abstract：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 proj ection pursuit method,a new grey fussy evaluation method is put forward.Five key indexes to influencing the network performance are selected firstly,and the correla-tion 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 con-structed 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 proj ection pursuit method, the result shows that the inner relationship of index is reflected in the results of evaluation,the algorithm is more obj ective in determining the weight and the specific value of network performance is given.The al-gorithm is simple,and provides a new idea for the network performance evaluation.
Keywords：network performancecorrelation degreeindex weight set
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 76-79,84 )