一种基于模糊理论的P2P电子商务信任模型

为了提高P2P电子商务交易的安全性,根据P2P电子商务的特征,提出一种基于模糊理论的信任模型。将信任化分为直接信任和推荐信任。用模糊集来刻画直接信任值,对影响信任主体的多种因素给出了详细的模糊综合评判算法。利用交易金额和交易时间来确定推荐信任的权值。实验表明该信任模型与基于概率估计的信誉评价体系算法相比,该算法误差较小,能有效防止节点的恶意行为,可以很好地应用于P2P电子商务中。

A Fuzzy Theory Based Trust Model for P2P Electronic Commerce

To improve the security of P2P e-commerce,according to the characteristics of P2P e-commerce presents a trust model based on fuzzy theory.The trust is divided into direct trust and recommendation trust.Fuzzy set which is used for presenting the direct trust value.fuzzy and general evaluation algorithm about the effect factors of trust subject has been proposed.Use the transaction amount and transaction time to determine the weight of recommended trust.Experiments show that the trust model is estimated based on the credibility evaluation system for probabilistic algorithm,the algorithm error is small,can effectively prevent malicious behavior of nodes,can be applied to P2P e-commerce.