计算机科学 ›› 2019, Vol. 46 ›› Issue (6): 224-230.doi: 10.11896/j.issn.1002-137X.2019.06.034
程昳1,2, 刘勇3
CHENG Yi1,2, LIU Yong3
摘要: 针对现有邻域多粒度粗糙集的定义及相应知识发现算法的不足,重新建立基于邻域多粒度粗糙集的知识发现模型。首先构建了多邻域半径下的乐观邻域多粒度粗糙集模型和悲观邻域多粒度粗糙集模型,讨论了相关性质;然后定义了邻域多粒度粗糙集的粒度重要性,并构造了粒度约简算法;最后通过实例解释了算法的运行机制,验证了算法的有效性。
中图分类号:
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