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一种新的粗糙集模型及其应用
  • ISSN号：1001-7402
  • 期刊名称：模糊系统与数学
  • 时间：2013.6.6
  • 页码：176-181
  • 分类：TP181[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构：[1]河北大学数学与计算机学院,河北保定071002
  • 相关基金：国家自然科学基金资助项目（61073121）;河北省自然科学基金资助项目（2010000318）
  • 相关项目：不确定支持向量机及其应用
作者： 张植明|
关键词： 粗糙集, 区间直觉模糊集, 区间直觉模糊关系, 区间直觉模糊数, 近似精度, 粗糙度, Rough Sets, Inerval-valued Intuitionistic Relations, Inerval-valued Intuitionistie Fuzzy Numbers, Fuzzy Sets, Inerval-valued Intuitionistic Fuzzy Approximate Precision, Rough Degree
中文摘要：

提出了一种新的基于区间直觉模糊关系和区间直觉模糊数的粗糙集模型。首先，介绍了区间直觉模糊集，区间直觉模糊关系和区间直觉模糊数等概念。然后，利用区间直觉模糊关系和区间直觉模糊数定义了一种新的粗糙集模型，并给出一些基本性质。最后将该模型应用于临床诊断系统中。实例验证了该粗糙集模型的有效性和实用性。

英文摘要：

A kind of novel rough set model based on an interval-valued intuitionistic fuzzy relation and an interval-valued intuitionistic fuzzy number is presented. Firstly, the concepts of an interval-valued intuitionistic fuzzy set, an interval-valued intuitionistic fuzzy relation and an interval-valued intuitionistic fuzzy number are introduced. Secondly, by empolying an interval-valued intuitionistic fuzzy relation and an interval-valued intuitionistic fuzzy number, a new rough set model is defined and some basic properties of this model are examined. Finally, this newly proposed rough set model is applied to the clinical diagnose systems. A concrete example is proposed to illustrate the effectiveness and practicability of this rough set model.

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不确定支持向量机及其应用
期刊论文 68 会议论文 25 著作 1
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期刊信息
  • 《模糊系统与数学》
  • 中国科技核心期刊
  • 主管单位:国防科技大学
  • 主办单位:国防科技大学理学院 国防科技大学理学院
  • 主编：刘应明
  • 地址：湖南长沙国防科技大学理学院
  • 邮编：410073
  • 邮箱：fuzzysys@cfsm.cn
  • 电话：0731-84576220
  • 国际标准刊号：ISSN：1001-7402
  • 国内统一刊号：ISSN：43-1179/O1
  • 邮发代号:42-180
  • 获奖情况:
  • 美国《数学评论》（Mathematical Reviews）核心引...,中国科技论文统计源期刊,《中国科学引文数据库》来源期刊
  • 国内外数据库收录:
  • 美国数学评论（网络版）,德国数学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:8133