Classification rule extracting strategy based on decision system with ordered attributes
一种基于有序属性决策系统分类规则提取策略

The precision of classification rule is decided by the construction of classification algorithm.By the concepts and attribute reduction algorithm of basic rough set,a data mining algorithm based on the ordered character of attribute in decision system is proposed in this paper.First,the aggregation expression in decision system with ordered character of attribute is briefly introduced.Then,based on the basic characterization of criteria sets and attribute sets in decision system with ordered attributes,the upper and lower approximation expansion models are constructed to obtain the four relative parameters in decision system with ordered attributes.Thirdly,the corresponding data mining and classification rule extracting algorithm is constructed by using the proposed approach.Finally the rationality of the ordered attribute reduction method is validated by simulation example,and the result shows the rules mined by the method are concise and reliable.