摘要
针对开放式网络环境中信任的主观性、不确定性等特点,提出了一个基于模糊理论的主观信任评价模型。该模型运用模糊理论得出节点间的综合信任评价的计算式,并在信任的计算中引入时间因子、对不诚信节点的约束机制,利用贴近度反求权重计算综合信任值,最后利用模糊等价关系实现信任值的聚类分析。通过仿真实验结果分析,证明了该模型具有有效性和可行性,并通过仿真实验比较,验证了该模型能够客观地反映出接近真实的情况。
Aiming at the features of subjectivity and uncertainty of trust in open network,this paper put forward a new subjec- tive trust evaluation model based on fuzzy theory. This model applied fuzzy theory to calculate results of subjective integrated trust evaluation between nodes. And the model introduced the time factor and a constraint mechanism for dishonest nodes on the calculation of trust, and used the close degree reversing the weight to calculate the integrated trust value, and used fuzzy equivalence relation to achieve cluster analysis of the trust value. At last, the analysis of simulation results indicate that the model is valid and feasible. The simulation experiments show that the model is able to objectively reflect the real situation.
出处
《计算机应用研究》
CSCD
北大核心
2014年第3期769-772,共4页
Application Research of Computers
基金
四川省科技支撑计划资助项目(2011GZ0170)
关键词
主观信任
模糊理论
不诚信节点的约束
贴近度
模糊等价关系
综合信任
subjective trust
fuzzy theory
constraint of dishonest nodes
close degree
fuzzy equivalence relation
integrated trust
