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一种悲观多粒度粗糙集中的粒度约简算法

, PP. 361-366

Keywords: 悲观多粒度粗糙集,粒度约简,分布约简

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Abstract:

多粒度粗糙集方法是近年来粗糙集理论的一个发展方向,它是一种基于多个粒空间的粗糙数据建模方法。文中针对悲观多粒度粗糙集模型,引入分布约简的概念,分析多个粒空间中的粒度选择问题。基于给出的粒度重要度提出悲观多粒度粗糙集中的粒度约简算法,并通过实例验证该方法的有效性。结论表明该方法得到的结果更加符合实际决策。

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