基于多维决策属性的网络用户行为可信度评估

网络用户行为可信的评估具有不确定性、复杂性等特点。针对已有模型在动态适应性、主观分类权重、决策属性建模粗糙等方面的不足，本文提出了一种新的网络用户行为可信评估模型。采用更完善的决策属性来衡量用户行为可信性，基于AHP原理计算直接可信度，运用信息熵理论客观的分类方法，确定各个决策属性的权重，并通过加权几何平均融合各决策属性。实验结果表明，该模型能够准确评价网络用户行为的可信性，反映网络用户行为可信性的动态变化特性。与传统模型相比，在准确度和安全性方面有了很大提高。

Evaluating network user behavior trust based on multiple decisions attributes

Aiming at solving the problems of the bad dynamic adaptability,subjective classification weighting and the roughness of decision attributes modeling,this paper brought out the concept of a new evaluating model of the user behavior trust.With adopting more comprehensive decision attributes to evaluate the user behavior trust and also founding on the AHP principle to calculate the direct reliability,introduced the objective classification method from the information entropy theory to ensure each decision attr...