基于模糊集的点对点网络信任模型

2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI:10.1109/CINC.2010.5643720

Chang-sheng Zhu, Ying-ying Gso, Lei Qian, Qing-rong Wang

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引用次数: 0

摘要

模糊集已成为信任模型的研究热点。该信任模型在已有研究的基础上，利用模糊集理论对信任进行描述，并将信任评估分为主观信任评估和客观环境影响两个方面。为了适应信誉度的动态变化，在信任更新模型中采用了模糊集的封闭函数和分布式存储方法。仿真实验结果表明了该模型的有效性和合理性。

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A trust model based on fuzzy set in peer-to-peer network

Fuzzy set has become the focus method of trust model.Based on the existing research,this trust model give a description of the trust with fuzzy set theory,and trust assessment is separated two aspects which are subjective trust assessment and objective environment impact.In order to adapt to the dynamic of credibility,we use close function which from fuzzy set and distributed storage method in trust update model.Simulation experiment results show that this model is effective and rational.

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来源期刊

2010 Second International Conference on Computational Intelligence and Natural Computing

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