南京大学学报(自然科学版) ›› 2014, Vol. 50 ›› Issue (1): 72.
汤建国1,汪江桦1,佘堃2,祝峰3
Tang Jianguo1, Wang Jianghua1, She Kun2, William Zhu3
摘要: 覆盖粗糙集是处理不确定性问题的一种有效方法,在最近几年日益受到研究人员的关注。由于覆盖具有很强的一般性,使得出现了许多从不角度构建的覆盖粗糙集模型。然而,由此引发的一个现实而关键的问题还未得到全面有效的解决,即:对于某个模型而言,不同的覆盖产生相同覆盖近似集的条件是什么?针对这个问题,以六类主要的覆盖粗糙集模型为研究对象,对它们的上下近似产生原理展开了深入分析。研究发现各模型的近似集与覆盖中的极大块或极小块有着紧密联系,基于此提出了最小覆盖和最大覆盖的概念,利用它们的特性对该问题进行了探讨和解决。
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