The rapid growth of cloud service storage of geometric network made the cloud service decision more difficulty, in order to meet the special needs of users and provide sufficient basis for decision making, here presented the parallel fuzzy multi criteria time varying weights algorithm for cloud service decision, which considered the price factors. In improved parallel TOPSIS algorithm, it used the entropy weight assignment to select the criteria weights of cloud services, which maked the choice of the weights to be simple and easy, and it presented time varying weights to improve the TOPSIS evaluation mechanism, it used time varying weights to distinguish the importance of different time periods for cloud services, which made the the decision mechanism more reasonable and reliable. Then, based on the multi criteria decision making mechanism of fuzzy TOPSIS, here designed the parallel decision fusion framework for cloud services selection, which makes the algorithm more close to engineering application. The simulation results showed that, the proposed algorithm could be more effective for inhibition the influence of QoS information for cloud services decision, which could effectively improve the call success rate of cloud service.
