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基于随机集的程度粗糙集模型及其应用 被引量:2

Degree Rough Set Model Based on Random Sets and Applications
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摘要 分析了传统的基于随机集的粗糙上(下)近似在刻画或近似概念时的缺陷。考虑到元素的集值函数与对象集重叠部分的定量信息。依据集值函数与对象集重叠的多少来刻画或近似对象集。给出了基于随机集的程度粗糙集模型,得出了一系列重要的结论。 In this paper,the limitation of traditional upper(lower) approximation based on random set is analyzed,when it characterizes or approximates the conception.The overlapped part's quantitative information of elementary set-valued function and object set is taken into account;the numbers of overlapping are used to characterize or approximate object set.At the same time,degree rough set model based on random set is provided,and a series of important conclusions are also given.
出处 《淮阴工学院学报》 CAS 2010年第1期14-16,共3页 Journal of Huaiyin Institute of Technology
关键词 系统理论 粗糙集 随机集 程度 system theory rough set random set degree
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参考文献3

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同被引文献25

  • 1张贤勇,莫智文.变精度粗糙集[J].模式识别与人工智能,2004,17(2):151-155. 被引量:43
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