节点文献
决策支持系统中粗糙集理论的应用研究
Research of the Rough Set Application in DSS
【摘要】 粗糙集理论是近代新兴的数据处理方法,概率统计方法是传统数据处理方法,两者各有其优缺点。文章在对粗糙集理论进行深入研究的基础上,提出将两种方法结合,并在决策支持系统中应用,在系统的实现过程中提出了新的处理方法。
【Abstract】 Rough set is a new way to deal with data, while statistics is a traditional one. Both of them have merits and shortcomings. In this paper, the authors bring forward a new way to combine these methods. And apply this new way to a decision support system to test the accurateness of this new way. In order to simple this procedure, the authors use a new and simple way to deal with the data sets, which is between the traditional way of reduction and the way of Skowron’s Matrix. After being tested by a set of data, it is proved to be right and effective.
【基金】 国家自然科学基金项目(29976003);教育部科学技术研究重点项目(01024)
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2003年01期
- 【分类号】C934
- 【被引频次】17
- 【下载频次】227