Improved Algorithm of Fuzzy Set Gravity Centre in Track System Teaching Field

Abstract

With the development of science and technology, modern science and technology are more and more widely used in the field of sports, which not only promotes the scientific development of track and field system teaching but also makes great changes in the way of track and field system teaching. Many methods of sports evaluation using modern science and technology have been accepted by people and have been widely used in teaching, especially in the evaluation of sports achievements. However, there are few scientific and technological methods for the evaluation of sports technology. Track and discipline instructing is an extraordinarily complicated sport. The instructing of bodily schooling forte has accompanied the standard instructing technique for a lengthy time. The focus and evaluation of teaching are usually determined by teachers’ teaching experience. This teaching method is often blind and lack of pertinence and scientific. In order to improve the overall level of track and field system teaching, a scientific and reasonable quantitative mode can be adopted. This paper uses the improved algorithm of fuzzy set centre of gravity set to analyse the existing teaching. The algorithm offers fuzzy interval rating by means of comparison experts, calculates the centre of gravity of the endpoint of interval score, considers the weight of a number influencing elements and the authority of experts, and offers complete decision-making opinions. The algorithm makes full use of expert evaluation opinions and is easy to operate. Evaluation examples verify the scientific and accuracy of the algorithm. The results show that the algorithm conforms to the scoring law of track and field system teaching, has a certain practical effect on the objective evaluation of sports results, and can help teachers clearly understand students’ sports skills.