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In this paper, we first establish the evaluation model of the individual risk index based on the social network analysis. The attributes of the individual through the behavior of the performance is divided into social attributes (including psychological attributes) and network attributes, and then to the social attributes of refinement, and that with some social attributes of people more dangerous. In which, we analyze the psychological factors, and the comprehensive evaluation of the factors, the network attributes are linked to the second tasks in the model. Then, we establish the model of double layer classification based on fuzzy clustering model and weighted Bias classification model. So as to make a preliminary classification of a large number of data, and finally get the specific behavior of the classification table "The Definition Sample of Cut Set of Fuzzy Matrix ". Then the weighted Naive Bayesian classifier is used to classify the individual behavior sets, so that each behavior is obtained from the correlation with terrorism. Then, we can use the weight and then return to the analysis of the individual can be derived from each person's expectations, the expectations of everyone, and applied to the first task of the risk index evaluation.

An Easy-Using Evaluation System Model in Terrorism Based on Individual Risk Index and Classification