Research And Application Of Decision Support System In Tennis Technique And Tactics

In sports tennis,technique and tactics are one of the main factors that influence the match achievement, and it is also a decisive factor that determined the match result weather the athletes use it successfully or not in match. Therefore,it is an important way to improve tennis athletics level of our country to research on technique and tactics laws of the tennis match which aims to provide science technique and tactics decision making for tennis routine training and tennis match.Tennis technique and tactics are complex and mutable in tennis match, so it is difficult to make accurate decision-making for this kind of problem. The decision-making be made on the base of more information, and this will increase the complexity of decision-making and restrict accurate decision-making based on personal knowledge and experience. Therefore, it is very necessary to establish tennis technique and tactics decision support system, which can help people explore technique and tactics rules in tennis match, and aid people to make technique and tactics decision-making in order to increase the accuracy of decision-making.The tennis technique and tactics decision support system was built by adopting the methods of literature, software engineering, data mining and movement technique and tactics modeling. Based on database, knowledge base and model base, the system was realized on the base of VB6.0 development environment and SQL sever 2000 database. The knowledge architecture of tennis technique and tactics decision support and the theory of knowledge representation researched in this thesis, and tennis technique and tactics decision knowledge base was constructed and realized. Data mining theory and methods studied, and data mining technology used to explore technique and tactics decision knowledge and rules in large data. System dynamics modeling methods studied, and system dynamics models were built to provide simulation decision support. The research results of this thesis are as follows.(1) Based on Systematic analysis of the tennis knowledge structure character of technical and tactical decision-making, knowledge base was established that are including the technique and tactics decision-making of different play athlete antagonize, the technique and tactics decision-making of different game play situations, and the technique and tactics decision-making in different environment. Knowledge acquisition methods and sources include summarizing the literature under the guidance of experts and questionnaire. The production representation method was adopted to represent knowledge. This knowledge base management system,which consist of knowledge acquisition module, knowledge base editing module, knowledge check module, and knowledge base browsing module,and inference engine based on knowledge reasoning were established.(2) On the base of research theory and method of data mining, this research focus on the application research of the data mining theory and technology based on association analysis and rough set, and application case are provided.Association analysis can help people to find interesting, potentially relation between things from a large amount of database. The association data mining model was established based on Apriori algorithm,which was used to mine the association rules between stroke placement and stroke result (win or lose). The research solve such problems as the last two stroke placement association analysis, the first three stroke placement association analysis of the serve game,the first two stroke association analysis of receive game and other stroke placement decision-making problems.Rough set is adopting appropriate algorithm to reduce attributes that determine things in order to remove redundant attributes and get the least reduction of attributes set. On this basis, the things were classified and decision rules were generated, that is, for knowledge. The rough set data mining model was established,multiattribute decision-making problems were solved by using rough set data mining model,which include the crucial stroke and successive stroke decision-making in tennis match. The case analysis indicates that adopting this method inherence relation or rules between tennis stroke placement, technique, line, hand orientation and result can be capable of discovering, and this may make up shortcomings of statistical methods, and consummate the function of decision support system.(3)It is also a requirement of tennis technique and tactics decision-making that study on technique and tactics modeling and carry out simulation and prediction on how the indicators affect the game result. Considering the character of requirement of tennis technique and tactics decision-making, this research adopted system dynamic modeling method and established some system dynamic model of tennis technique and tactics, which can provide decision support on tennis technique and tactics in match with model simulation.Some system dynamic model were built in this research work including the main indices system dynamic model of tennis technique and tactics, system dynamic model of tennis technique and tactics based on Markov chain in stochastic process, and system dynamic model of tennis technique and tactics stroke placement simulation. When one of athlete?s indicator was changed, the simulation of the model can help people find the main index or factor that influence the match result, and this will benefit to technique and tactics decision-making.The decision support system firstly was applied to the field of tennis technique and tactics decision-making in this research.Based on decision support system theory, knowledge representation and data mining theory, for tennis coaches and players technical and tactical decision-making needs, the technique and tactics decision support system for tennis was established, and had been applied in practice.