Dynamic Policy Updating Based on One-Point Coverage Random Sets Theory

Aiming at the dynamic policy trigger problem in policy based network management, this thesis first introduces the uncertain information generated by one-point coverage random sets theory and also the unified framework of fuzzy information. On the basis of which, according to the feature of policy based network management, a model used to update the predicted information using present known information, experience, and knowledge is designed. At the same time, this thesis put forward that, take the semblance of policy as constant probability in product space conditional event algebra, so as to execute information fusion of multiple sets of related policy. In the end, compared with the policy based inference system and then analyze the result.