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动态信任评价可以结合实体的多项属性参数来进行,这些属性可能是冗余属性,未能提供重要信任信息,致使信任评价结果不能真实反映实体信任程度;同时由于评价中利用了多个属性,会带来更大的存储和运算的开销.为此,将灰色系统理论、粗糙集理论与属性权重结合,以综合考虑影响实体信任度的多属性指标为主要内容,建立适于在复杂网络环境下的动态信任评价模型.从实体信任属性开展研究,提出基于信任策略的属性约简算法、快速获取影响信任信息的多属性指标,同时给出求解实体信任度的算法.实验仿真结果表明所提出模型能及时客观地刻画实体的动态信任值,同时动态信任评价方法更具合理性和准确性.
The dynamic trust evaluation can be combined with a number of attribute parameters of the entity. These attributes may be redundant attributes and fail to provide important trust information, so that the trust evaluation result can not truly reflect the degree of entity trust. At the same time, due to the use of multiple attributes in the evaluation, Will bring more storage and computing overhead.To this end, the combination of gray system theory, rough set theory and attribute weights, with comprehensive consideration of multi-attribute indicators affecting the trust of entities as the main content, the establishment of suitable for complex network environment The dynamic trust evaluation model is proposed.The attribute trust reduction algorithm based attribute trust reduction algorithm is proposed to get the multiple attribute index which affects the trust information quickly.At the same time, The model can objectively depict the dynamic trust value of the entity in the meantime, and the dynamic trust evaluation method is more reasonable and accurate.