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不完备模糊目标信息系统粗集模型与知识约简
引用本文:魏大宽,黄兵,周献中.不完备模糊目标信息系统粗集模型与知识约简[J].计算机工程,2006,32(8):48-51.
作者姓名:魏大宽  黄兵  周献中
作者单位:1. 南京理工大学自动化系,南京,21009;湖南科技学院信息工程学院,永州,425006
2. 南京审计学院计算机科学与技术系,南京,210029
3. 南京大学工程管理学院,南京,210093
基金项目:中国科学院资助项目;国家自然科学基金
摘    要:在不完备信息系统和模糊目标信息系统的基础上,将不完备近似空间和模糊目标信息系统有机地结台起来,提出了不完备模糊目标信息系统的概念;同时还给出了不完备模糊目标信息系统的粗糙集模型,该模型是完备模糊目标信息系统和经典目标信息系统粗糙集模型的推广。还给出了系统知识约简的一些相关概念及其辨识矩阵的知识约简方法。

关 键 词:粗糙集  相容关系  不完备信息系统  模糊目标信息系统  知识约简
文章编号:1000-3428(2006)08-0048-04
收稿时间:04 18 2005 12:00AM
修稿时间:2005-04-18

Rough Set Model and Knowledge Reduction in Incomplete and Fuzzy Objective Information Systems
WEI Dakuan,HUANG Bing,ZHOU Xianzhong.Rough Set Model and Knowledge Reduction in Incomplete and Fuzzy Objective Information Systems[J].Computer Engineering,2006,32(8):48-51.
Authors:WEI Dakuan  HUANG Bing  ZHOU Xianzhong
Affiliation:1. Department of Automation, Nanjing University of Science and Technology, Nanjing 210094; 2. Department of Computer Science and Technology, Nanjing Audit University, Nanjing 210029; 3. School of Engineering Management, Nanjing University, Nanjing 210093; 4. School of Information Engineering, Hunan University of Science and Technology, Yongzhou 425006
Abstract:This paper proposes the concept of incomplete and fuzzy objective information systems based on incomplete approximation space and fuzzy objective information system, and gives the rough set model of incomplete and fuzzy objective information systems by the tolerance relation. The model is not equivalent to the rough set model of incomplete information system or fuzzy objective information system in complete space, but is the generalization of the rough set model of fuzzy objective information system in complete space and of the rough set model of incomplete information system. The related concepts of knowledge reduction and the methods for discernibility matrix of knowledge reduction are presented, and the simple algorithm of the knowledge reduction is obtained.
Keywords:Rough set  Tolerance relation  Incomplete information system  Fuzzy objective information system  Knowledge reduction
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