覆盖变精度粗糙模糊集模型
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  • 英文篇名:Covering-based variable precision rough fuzzy set models
  • 作者:巩增泰 ; 王龙五
  • 英文作者:Gong Zeng-tai;Wang Long-wu;School of Mathematics and Statistics, Northwest Normal University;
  • 关键词:粗糙集 ; 变精度粗糙集 ; 覆盖粗糙模糊集
  • 英文关键词:rough set;;variable precision rough set;;covering rough fuzzy set
  • 中文刊名:LDZK
  • 英文刊名:Journal of Lanzhou University(Natural Sciences)
  • 机构:西北师范大学数学与统计学院;
  • 出版日期:2019-02-15
  • 出版单位:兰州大学学报(自然科学版)
  • 年:2019
  • 期:v.55;No.241
  • 基金:国家自然科学基金项目(61763044,11461062)
  • 语种:中文;
  • 页:LDZK201901015
  • 页数:8
  • CN:01
  • ISSN:62-1075/N
  • 分类号:111-118
摘要
在研究覆盖粗糙集模型的基础上,凭借所提出的对象最小描述邻域对于一个特定模糊集的相对错误分类率,考虑对象最小描述的近邻域、邻域、规则置信度和元素隶属度4种覆盖,定义并建立了4种类型的覆盖变精度粗糙模糊集模型,讨论了其性质和相互关系,推广和统一了已有的结果,并给出了算例.
        Based on the discussion of the covering rough set models and the minimum description neighborhood of elements for the relative error classification rate of a given fuzzy set proposed in this paper,four kinds of covering variable precision rough fuzzy set models were defined and established by means of a minimum description of the neighbor domain, whole neighborhood, rule confidence and membership of the elements, unifying the results of predecessors. Their properties and relationships were discussed,an example was given.
引文
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