Varied trust models have been proposed recently,it is necessary to develop an effective method to evaluate these trust models to resolve the commonalities(guiding the newly generated trust models in theory)and individuality(assisting a decision maker to choose an optimal trust model to implement in specific context)issues.A new method for analyzing and comparing trust model based on parameters hierarchical quantization is proposed in this paper.Several parameters are extracted from the functional attributes and quality feature of trust relationship,as well as requirements from the specific network context and the evaluators.Several distributed P2P trust models are analyzed quantitatively with extracted parameters modeled into a hierarchical model.The fuzzy inferring method are applied to the hierarchical model of parameters to fuse the evaluated values of the candidate trust models,then the relative optimal one is selected to implement based on the sorted overall quantitative values.Finally,analyses and simulation are performed.The results show that the proposed method is reasonable,and effective compared with the previous algorithms.