摘要
对决策表约简的一些roughsets和fuzzysets相关概念进行了阐述。在应用Rough集对决策系统进行约简的基础上,结合模糊聚类分析方法,论述了这一可行的决策表约简算法。该算法以属性核与属性重要性的代数定义形式为基础,利用聚类分析的模糊处理方法,解决了约简过程。并给出了对一电器公司全国连锁销售数据约简处理结果,得出了能帮助不同级别决策者进行决策的辅助性的规则知识。
Introduce some rough set and fuzzy set concepts interrelating with decision table reduction, and put forward a practical decision table reduction algorithm on the basis of the methods of rough set theory and fuzzy cluster analysis. Basing on the attribute core and the algebraic definition of attribute significance, the algorithm applies the fuzzy method of cluster analysis to deal with the process of the reduction.In the end,provide a disposed result of a nationalwide electric corporation's sale data, and give some helpful rules to dissimilar level decision-maker.
出处
《微机发展》
2003年第7期97-100,共4页
Microcomputer Development
