计算机科学 ›› 2019, Vol. 46 ›› Issue (2): 236-241.doi: 10.11896/j.issn.1002-137X.2019.02.036
薛占熬, 韩丹杰, 吕敏杰, 赵丽平
XUE Zhan-ao, HAN Dan-jie, LV Min-jie, ZHAO Li-ping
摘要： 粒度重要度是多粒度粗糙集中的一项重要研究内容。针对现有粒度重要度只考虑单个粒度对决策的直接影响而忽略了其他粒度对决策综合影响的问题,结合多粒度粗糙集近似质量的概念,通过研究粒度重要度的构造方法,提出了一种新的多粒度间的粒度重要度的计算方法,并给出了基于该方法的粒度约简算法。同时,为减少冗余决策信息,将约简集与三支决策理论相结合,构建了基于粒度重要度的三支决策模型,给出了决策规则。最后通过实例证明,新的粒度约简算法可以获得具有更高区分度的数据,且缩小了延迟域范围,使最终决策更合理。
中图分类号:
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