A Trust Model Based on Statistical Propagation and Fuzzy Aggregation for Semantic Web

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.