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属性粗糙集粗糙性的度量方法
  • ISSN号：1004-8820
  • 期刊名称：《烟台大学学报：自然科学与工程版》
  • 时间：0
  • 分类：O159[理学—数学;理学—基础数学]
  • 作者机构：[1]商丘师范学院数学与信息科学学院,河南商丘476000
  • 相关基金：国家自然科学基金资助项目（61179038）; 河南省自然科学基金资助项目（132300410391）
作者： 郭志林[1], 王宁[1]
关键词： 属性粗糙集, 属性测度, 知识粒度, 粗糙度, attribute rough set, attribute measure, knowledge granularity, roughness measure
中文摘要：

考虑到粗糙集的不确定性与其所在近似空间知识粒度的关系,在属性粗糙集模型的基础上,将传统的粗糙度与知识粒度相结合,提出了一种新的属性粗糙集粗糙性的度量方法,讨论了这一度量的特性.证明了随着近似空间的细分新的粗糙度单调减小的性质.

英文摘要：

Based on the fact that the uncertainty of rough sets is closely related to the knowledge granularities of the same approximation space,a new method for measuring the roughness of attribute rough sets is proposed by integrating the traditional roughness with knowledge granularities. We discuss the properties of this measure and prove that this new roughness is decreasing with the refinement of knowledge granularities in approximation space.

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期刊信息
  • 《烟台大学学报：自然科学与工程版》
  • 中国科技核心期刊
  • 主管单位:山东省教育厅
  • 主办单位:烟台大学
  • 主编：郭善利
  • 地址：山东省烟台市莱山区清泉路30号
  • 邮编：264005
  • 邮箱：xuebao@ytu.edu.cn
  • 电话：0535-6904913
  • 国际标准刊号：ISSN：1004-8820
  • 国内统一刊号：ISSN：37-1213/N
  • 邮发代号:
  • 获奖情况:
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  • 被引量:2538