论文部分内容阅读
目前,国内大多数的高校体育管理工作都是由管理者凭借实际工作经验制定各种训练计划,存在不够科学、训练没有针对性等缺点,没有科学的辅助决策手段。本文提出了一种基于Multi-Agent的体育管理决策支持系统的设计,并进行了具体的实现。将关联规则的数据挖掘技术引入到系统中,并对算法进行改进,用于在数据库中对数据进行归纳总结,提取出各种类型数据找出内在的联系,从而有效地提高了系统的准确性和智能性。
At present, most of the domestic colleges and universities sports management by managers with actual work experience to develop a variety of training programs, there is not enough science, training is not targeted shortcomings, there is no scientific auxiliary decision-making tools. This paper presents a multi-agent based sports management decision support system design, and carried out a concrete realization. The data mining technology of association rules is introduced into the system, and the algorithm is improved, which is used to summarize the data in the database, extract various types of data to find the intrinsic link, thus effectively improving the accuracy of the system And smart.