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为了提高P2P电子交易的安全性,提出了基于模糊理论的信任管理模型.通过类群来初始化信任向量及信任评估,提高了评估效率.通过模糊综合评判方法,较为全面地考察了影响信任的多种因素,使得评估结果更加客观、真实.基于模糊贴近度的概念来实现信任更新,并在推荐因子的更新中融入交易金额和交易时间,客观地反映了信任的动态性和交易的上下文特性.实验仿真及分析表明,与传统方法相比,本方法可以有效地提高评估的可靠性及可用性.
In order to improve the security of P2P electronic transactions, this paper proposes a trust management model based on fuzzy theory, which initializes the trust vector and trust evaluation by using groups to improve the evaluation efficiency.Through the fuzzy comprehensive evaluation method, Factor, making the assessment result more objective and true.Relying on the concept of fuzzy close degree to realize the trust update, and integrating the transaction amount and transaction time into the update of recommendation factor, objectively reflect the dynamic of trust and the transaction contextual characteristics.Experiment Simulation and analysis show that compared with traditional methods, this method can effectively improve the reliability and usability of evaluation.