As we know, context-aware computing with uncertainty is an important part of pervasive computing with uncertainty, which includes three aspects: obtaining of context information with uncertainty, modelling and fusing of context information with uncertainty and management of context information with uncertainty. Among these, fusing of context information with uncertainty is the most important. Because multi-source evidence context-aware information with uncertainty is dynamic and changing randomly, in order to ensure the QoS of different application fields based on pervasive computing, we modified the fusion method of evidence information after considering context's reliability, time-efficiency and relativity, which has improved the classic combination rule of D-S evidence theory when used in the pervasive computing paradigm and overcome its shortcoming. All these suggested technologies have been successfully integrated and demonstrated in our project, including context-aware computing by fusing of dynamic...