A Decision-Making Method of Intelligent Distance Online Education Based on Cloud Computing

In order to improve the quality of online distance education and students' online learning, an intelligent online distance education decision-making method based on cloud computing is proposed. Using computing, we provide decision-making resources for online education decision-making through the resource layer; adopt the G1 deviation maximization method to calculate the combination weight, and determine the optimal decision-making scheme in combination with bipolar binary semantics and cloud model; moreover, we provide human–computer interaction windows to view the decision-making scheme at the application layer; and complete the optimal decision-making for intelligent online education by providing the management function of cloud computing services. Experimental results show that this method can effectively obtain a decision-making scheme for network education. After the application of this method, the students' learning ability and academic performance have been significantly improved.