基于Shapley熵的主观信任模型

针对开放网络信任的主观性、不确定性等特点,建立了一种基于Shapley熵的主观模糊信任综合评价模型。该模型运用模糊综合评价法得出节点间的直接信任值,并提出评价取向相似度、反馈评价不确定度、推荐节点可信度三个概念,利用Shapley熵计算节点推荐信任值。仿真实验表明,该模型能准确地计算信任值,并在保证节点交易成功率的同时体现了评价的主观性。

Trust management model based on Shapley entropy

Aiming at the features of subjectivity and uncertainty of trust in open network, this paper proposed a new subject comprehensive trust management model based on Shapley entropy. This model computed the direct trust value using fuzzy comprehensive evaluation method, and introduced the conception of Shapley entropy to calculate the recommendation trust value based on similarity of evaluating tendency, uncertainty of evaluation feedback and reliability of recommendation nodes, in order to manifest the subjectivity of evaluation while guaranteeing the security of transactions. Simulation results show that the model can calculate trust value accurately and ensure the success rate of interaction effectively.