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A Trust Model based on statistical propagation and Fuzzy aggregation for Semantic Web

机译:基于统计传播和语义Web模糊聚合的信任模型

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The last layer in Semantic Web structure is dedicated to the aspects of Trust which deals with uncertainty. In this paper a Trust Model is proposed which evaluates trust between trustor and trustee. This model is associated with two algorithms, an algorithm for propagation and another for aggregation. The propagation algorithm utilizes statistical techniques and the aggregation algorithm is based on fuzzy analysis. The proposed technique is named Max-weight method and experimental results are presented to compare and contrast the method with other techniques. Results of experiments clearly illustrate the effectiveness and the superiority of the proposed approach.
机译:语义Web结构中的最后一层专用于涉及不确定性的信任方面。在本文中,提出了一种信任模型,其评估了侦查者和受托人之间的信任。该模型与两种算法相关联,用于传播的算法,另一个用于聚合。传播算法利用统计技术和聚合算法基于模糊分析。所提出的技术被命名为MAX - 重量方法,并提出了实验结果以比较和对比其他技术的方法。实验结果清楚地说明了所提出的方法的有效性和优越性。

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