Tennis Match Prediction Model Based on Improved D-S Evidence Theory

When the influencing factors are not complete, the method based on mathematical statistics and probability theory is difficult to calculate the uncertainty of the competition results. So the calculation method of uncertainty for competition prediction based on the evidence theory features and application scenes is used. In this paper, firstly we use the improved D-S evidence theory to calculate the uncertainty of the data and the unknown a priori probability. Secondly, the paper further presents a calculation result of the tennis match, in which the condition is that the influence factors produce the contradiction or the initialization input is not sure. Experimental results show that the method proposed in this paper makes up for the lack of initial conditions and leads to the uncertainty of the competitive results. On the basis of the previous method, it can not be calculated in the absence of a data source. It is more realistic to consider the influence factors in the tennis movement, and it has better applicability.