基于知识发现的体育旅游目的地需求预测模型研究

The Demand Forecast Model for the Sport Tourist Destination Based on Knowledge Discovery

给出了影响体育旅游目的地的需求动力要素体系,并以基于可信度、覆盖度与支持度的粗糙集的等价矩阵方法进行规则获取与知识发现,得到游客到达率的增量与其相应的旅游需求影响因子之间关系的规则,以指导未来体育旅游目的地的需求预测,做出相应的服务协调或者政策调整。

A factor framework works on the demand trend of sport tourism arrival was proposed in this paper,and a knowledge discovery algorithm was put forward based on rough set to get the useful rules that describe the relation between tourism arrival and its corresponding impact factors.It was proved to be much efficiently in holding significant attribute,finding proficient rules than other reduce algorithms by imitated case.