A Fuzzy Clustering-Based Credibility Model for Trust Assessment in a Service-Oriented Architecture

This paper presents a credibility model to assess trust of Web services. The model relies on consumers´ ratings whose accuracy can be questioned due to different biases. A category of consumers known as strict are usually excluded from the process of reaching a majority consensus. We demonstrated that this exclusion should not be. The proposed model reduces the gap between these consumers´ ratings and the current majority rating. Fuzzy clustering is used to compute consumers´ credibility. To validate this model a set of experiments are carried out.