可信网络中的信任量化模型研究

可信网络中信任关系是一种非常复杂的社会关系,实现定量描述和预测具有很大的挑战性.综合考虑影响信任关系的多种要素,引入直接信任、间接信任、风险函数、奖惩函数和端点活跃度等多个决策属性,从多个角度评估信任关系的复杂性和不确定性.并通过信息熵理论确立各决策属性的分类权重,克服了权重的主观判断方法.由此,解决了传统量化模型的动态变化适应能力不足的问题,具有一定的现实意义.

Trust Quantitative Model in Trusted Network

In a trusted network,trust model is a complex concept in social relationships.Therefore it is very difficult to quantify and forecast trust accurately.In this paper,thiknking about multiple decision factors,a novel dynamic trust quantization model is proposed,including direct trust,indirect trust,risk function,reward and punishment function and active degree.Otherwise,the weight of classification is set up by information entropy theory for these decision factors,which overcomes the shortage of traditional method,in which the weight is set up by subjective manners,and makes the model has a better rationality and a higher practicability.