摘要： 针对基于云模型的信任模型缺乏对反馈信息的可信度量以及风险评估等问题，提出一种新的信任模型。综合反馈实体的评价次数、评价行为一致性等因素对反馈者提交的评价信息进行可信度量，基于加权逆向云生成算法构造被评估实体的实体信任云，根据被评估实体的活跃度和实体信任云的数字特征参数进行交互风险的评估。仿真结果表明，该模型能较好地反映实体的行为特点，提高实体间的交互成功率。

关键词: 信任模型, 云模型, 评价一致性, 评价可信度, 信任云, 风险评估

Abstract: Aiming at the problems of lacking credibility evaluation for the feedback information and risk assessment in trust model based on cloud theory, this paper proposes a new trust model. The credibility of an evaluation is measured by combining the evaluation number and evaluation consistency about a feedback entity. Trust cloud for an entity is generated based on the weighted backward cloud generator algorithm. Risk value is assessed according to entity’s active degree and the numerical characteristics of the entity’s trust cloud. Simulation results indicate that the model can reflect the behavior characteristics of every entity accurately, and the success rate of interaction between entities is significantly improved.

Key words: trust model, cloud model, evaluation consistency, evaluation credibility, trust cloud, risk evaluation

中图分类号: 

• TP393.08