一种决策表属性值细化的正域约简算法

A Reduction Algorithm of Positive Domain for Decision Table Based on Values Refining

目前决策表的数据信息都是动态变化的,为了有效地对这些数据集进行处理,提出了信息系统属性值细化时粗糙集增量式约简的矩阵方法并构造相应的算法,最后,通过实例分析来说明属性约简的具体操作方法和算法的有效性与可行性.

Many real data increase dynamically in size.As an effective and efficient mechanism to deal with such data,Incremental algorithms for attribute reduction based on modified equivalence relation matrix are proposed,by which minimal attribute reduction of new decision table can be obtained quickly when when attribute values are refined.Finally,Example confirms the feasibility and effectiveness of proposed operation and method of attribute reduction.