[1]胡宝清,温彪.基于极大相容块的不完备模糊目标信息系统的近似约简[J].江西师范大学学报(自然科学版),2015,(01):15-19.
　HU Baoqing,WEN Biao.The Approximate Reduction in Incomplete and Fuzzy Objective Information Systems Based on Maximal Tolerance Classes[J].Journal of Jiangxi Normal University:Natural Science Edition,2015,(01):15-19.
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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()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2015年01期
页码:
15-19
栏目:
出版日期:
2015-02-10

文章信息/Info

Title:
The Approximate Reduction in Incomplete and Fuzzy Objective Information Systems Based on Maximal Tolerance Classes
作者:
胡宝清；温彪
武汉大学数学与统计学院,湖北 武汉 430072
Author(s):
HU Baoqing; WEN Biao
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
Keywords:
incomplete and fuzzy objective information systems;  maximal tolerance classes;  identification matrix;  upper approximate consistent set;  lower approximate consistent set;  approximate reduction
分类号:
O 211.67
文献标志码:
A
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.
Abstract:
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.

参考文献/References:

[1] Kryszkiewicz M.Rough set approach to incomplete information systems [J].Information Sciences,1998,112(1):39-49.
[2] Kryszkiewicz M.Rules in incomplete information systems [J].Information Sciences,1999,113(3):271-292.
[3] Li Deyu,Zhang Bo,Leung Y.On knowledge reduction in inconsistent decision information systems [J].International Journal of Uncertainty,Fuzziness and Knowledge-Based Systems,2004,12(5):651-672.
[4] Qian Yuhua,Liang Jiye,Li Deyu,et al.Approximation reduction in inconsistent incomplete decision tables [J].Knowledge-Based Systems,2010,23(5):427-433.
[5] 徐伟华,张文修.基于优势关系下不协调目标信息系统的知识约简 [J].计算机科学,2006,33(2):182-184.
[6] 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.
[7] 胡秦斌,李文敬.基于不完备决策信息系统的知识约简算法 [J].科学技术与工程,2013,13(15):4414-4417.
[8] Yang Xibei,Zhang Ming,Dou Huili,et al.Neighborhood systems-based rough sets in incomplete information system [J].Knowledge-Based Systems,2011,24(6):858-867.
[9] Sun Lin,Xu Jiucheng,Tian Yun.Feature selection using rough entropy-based uncertainty measures in incomplete decision systems [J].Knowledge-Based Systems,2012,36:206-216.
[10] 魏大宽.不完备模糊决策信息系统粗糙集模型与知识约简研究 [D].南京:南京理工大学,2007.
[11] 王莉,周献中,李华雄.模糊决策粗糙集模型及其属性约简 [J].上海交通大学学报,2013,47(7):1032- 1035.
[12] 蒙祖强,黄柏雄.不一致不完备决策系统中属性约简的比较研究 [J].控制与决策,2011,26(6):867-872.
[13] 王福贵,李茹,钱宇华,等.基于相容关系的不完备模糊目标信息系统的分配约简[J].计算机科学,2008,35(4):174-177
[14] Leung Y,Li Deyu.Maximal consistent block technique for rule acquisition in incomplete information systems [J].Information Sciences,2003,153(1):85-106.
[15] 黄兵.基于粗糙集的不完备信息系统知识获取理论与方法 [D].南京:南京理工大学,2004.
[16] 宋姝婷,吴根秀,程子成.基于精度的属性约简新方法 [J].数学的实践与认识,2014,44(18):192-198.
[17] 吴根秀,刘佩红,罗冰辉,等.基于秩统计量的粗糙集精度的度量方法 [J].江西师范大学学报:自然科学版,2013,37(1):23-27.
[18] 周丽,吴根秀,晏伟峰,等.一种基于区分矩阵的实值属性约简算法 [J].江西师范大学学报:自然科学版,2011,35(2):135-139.

备注/Memo

备注/Memo:
国家自然科学基金(61179038)
更新日期/Last Update: 1900-01-01