计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 144-147.doi: 10.11896/j.issn.1002-137X.2017.11A.030
陈华峰,沈玉玲,龙建武,瞿先平
CHEN Hua-feng, SHEN Yu-ling, LONG Jian-wu and QU Xian-ping
摘要： 在多粒度近似空间中,将刻画相对量化信息的变精度粗糙集和描述绝对量化信息的程度粗糙集通过“逻辑与”算子结合起来,建立了基于“逻辑与”算子的双量化多粒度粗糙集模型,并分别从乐观和悲观双量化多粒度粗糙集的角度对模型的一些数学性质进行了讨论。该模型对多粒度近似空间中的相对量化信息和绝对量化信息同时进行了描述,在处理带噪声的数据方面有一定的应用价值,丰富了基于粗糙集理论的知识发现的理论基础。
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