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基于极大相容块的不完备模糊目标信息系统的近似约简
  • ISSN号：1000-5862
  • 期刊名称：《江西师范大学学报：自然科学版》
  • 时间：0
  • 分类：O211.67[理学—概率论与数理统计;理学—数学]
  • 作者机构：[1]武汉大学数学与统计学院,湖北武汉430072
  • 相关基金：国家自然科学基金（61179038）资助项目
作者： 胡宝清[1], 温彪[1]
关键词： 不完备模糊目标信息系统, 极大相容块, 辨识矩阵, 上近似一致集, 下近似一致集, 近似约简, incomplete and fuzzy objective information systems, maximal tolerance classes, identification matrix, upper approximate consistent set, lower approximate consistent set, approximate reduction
中文摘要：

在不完备模糊目标信息系统中引入了极大相容块的概念,定义了上下近似,并通过精确度的计算得到上下近似的定义具有合理性,同时提出了近似一致集的概念,给出了相关的粗糙集模型,以及该模型的近似约简概念及辨识矩阵的近似约简方法.

英文摘要：

The concept of maximal compatible classes is introduced into incomplete and fuzzy objective information systems. The upper and lower approximation is redefined,and the concept of approximation consistent set is proposed. It can be known that the definition is reasonable by calculating it. Meanwhile,the relevant rough set models are given. The identify of approximate reduction and a method for approximate reduction of identification matrix are got.

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期刊信息
  • 《江西师范大学学报：自然科学版》
  • 北大核心期刊（2011版）
  • 主管单位:江西师范大学
  • 主办单位:江西师范大学
  • 主编：
  • 地址：南昌市紫阳大道99号
  • 邮编：330022
  • 邮箱：lk8506184@126.com
  • 电话：0791-88506814
  • 国际标准刊号：ISSN：1000-5862
  • 国内统一刊号：ISSN：36-1092/N
  • 邮发代号:44-56
  • 获奖情况:
  • 2009年中国高等学校自然科学学报研究会颁发“全国...,2009年被评为：第四届华东地区优秀期刊奖”,2008年教育部科技司授予“第2届中国高校优秀科技...,2008年江西省新闻出版局授予“第3届江西省优秀期...,2004年教育部科技司授予“全国高校优秀科技期刊二...
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  • 被引量:5205