User Behavior Redibility Evaluation Model Based on AHP and Rough Set and Game Theory

In order to solve the problem that traditional user behavior trustworthiness assessment methods are too subjective and have poor dynamic adaptability when setting classification weight, in this paper, the traditional Analytic Hierarchy Process has been optimized and improved, a new trustworthiness evaluation model of user behavior based on improved AHP, rough set and game theory is proposed. This method combines user activity, reward and punishment factors to evaluate user behavior comprehensively, so that the evaluation results are more scientific and accurate. and demonstrates the feasibility of the method by an example. The results show that the evaluation model can adapt to the dynamic changes in user behavior trust, objectively determine the weight of each decision attribute, and can accurately and effectively assess the credibility of user behavior.