区间值决策系统的多特定类属性约简OA

Attribute reduction of multiple specific classes is an important branch of rough set theory research.Usually,users only focus on some decision classes when making decisions,while existing algorithms only focus on all decision classes,and the reduction efficiency for some decision classes is not high.Therefore,this article proposes a fast reduction model for multiple specific classes.This model fully utilizes the characteristics of positive,boundary,and negative domains and proposes an attribute reduction algorithm for multiple specific classes.The experimental results show that the algorithm proposed in this paper has high efficiency and relatively short reduction length.