期刊文献+

基于广义不可区分关系的决策表约简 被引量:3

The Reduction of Decision Table Based on Generalized Indiscernibility Relation
在线阅读 下载PDF
导出
摘要 研究决策表的正域约简及分配约简理论。针对具有自反性的广义不可区分关系,提出了决策表的正域约简及分配约简理论,借助区分函数给出了正域约简及分配约简的计算方法。对Skowron的区分条件进行了改进,在一定意义上为正域约简及分配约简提供了一般理论框架。 This paper is devoted to the discussion of positive region reduction and distribution reduction of decision tables.With respect to generalized indiscernibility relation,the approaches for positive region reduction and distribution reduction are presented by using discernibility functions.Skowron’s discernibility condition is improved.The approaches proposed in this paper provide a general framework for the reduction of decision table.
出处 《西华大学学报(自然科学版)》 CAS 2013年第4期1-4,36,共5页 Journal of Xihua University:Natural Science Edition
基金 国家自然科学基金(61175044 61175055) 中央高校基础研究基金(SWJTU11ZT29)
关键词 粗糙集 不可区分关系 正域约简 分配约简 rough set indiscernibility relation positive region reduction distribution reduction
  • 相关文献

参考文献20

  • 1Pawlak Z. Rough set[J]. International Journal of Computer and Information Science, 1982, 11:341 - 356.
  • 2Pawlak Z. Rough Set: Theoretical Aspects of Reasoning about Data [M]. Boston: Kluwer Academic Publishers, 1991.
  • 3Bonikowski Z, Bryniarski E, Wybraniec U. Extensions and In- tentions in the Rough Set Theory [J] Information Sciences, 1998, 107 : 149 - 167.
  • 4Yao Y Y. Constructive and Algebraic Methods of Theory of Rough Sets [ J]. Information Sciences, 1998, 109:21 -47.
  • 5Dubois D, Prade H. Rough Fuzzy Set and Fuzzy rough Sets [ J]. International Journal of General Systems, 1990, 17:191 - 209.
  • 6Zhang X H, Zhou B, Li P. A General Frame for Intuitionistic Fuzzy Rough Sets [ J]. Information Sciences, 2012, 216:34 -49.
  • 7Skowron A, Rauszer C. The Discemibility Matrices and Func- tions in Information Systems [ C ]// In : R. Slowinski ( Ed. ). Intelligent Decision Support-Handbook of Applications and Advances of the Rough Sets Theory. London :Kluwer Academic Publishers,1992:331 -362.
  • 8Marzena K. Comparative Study of Alternative Types of Knowl- edge Reduction in Inconsistent Systems [ J ]. International Journal of In- telligent Systems, 2001, 16 : 105 - 120.
  • 9张文修,米据生,吴伟志.不协调目标信息系统的知识约简[J].计算机学报,2003,26(1):12-18. 被引量:191
  • 10王国胤,于洪,杨大春.基于条件信息熵的决策表约简[J].计算机学报,2002,25(7):759-766. 被引量:602

二级参考文献46

  • 1王珏,苗夺谦,周育健.关于Rough Set理论与应用的综述[J].模式识别与人工智能,1996,9(4):337-344. 被引量:264
  • 2宋笑雪,李鸿儒,张文修.集值信息系统的知识约简与属性特征[J].计算机工程,2006,32(22):26-27. 被引量:14
  • 3宋笑雪,解争龙,张文修.集值决策信息系统的知识约简与规则提取[J].计算机科学,2007,34(4):182-184. 被引量:27
  • 4王国胤.Rough集理论和知识获取[M].西安:西安交通大学出版社,2001..
  • 5Pawlak Z. Rough set[J]. International Journal of Computer and Information Science, 1982, (11) : 341- 356.
  • 6Pawlak Z. Rough set:theoretical aspects of reasoning about data[M]. Boston:Kluwer Academic Publishers,1991.
  • 7Skowron A, et al. The discernibility matrices and functions in information systems[M]. Boston:Kluwer Academic Publishers, 1992 : 331 - 362.
  • 8Kryszkiewicz M. Comparative study of alternative type of knowledge reduction in inconsistent systems[-J-]. International Journal of Intelligent Systems, 2001,16 (1) : 105 - 120.
  • 9Kryszkiewicz M. Rough set approach to incomplete information systemsl-J]. Information Sciences, 1998,112(1):39 -49.
  • 10Kryszkiewicz M. Rough set approach to incomplete information systems[J]. Information Sciences, 1998,112 (1) : 39 -49.

共引文献1059

同被引文献22

  • 1尹旭日,商琳.不完备信息系统中Rough集的扩充模型[J].南京大学学报(自然科学版),2006,42(4):337-341. 被引量:3
  • 2Pawlak Z. Rough set [J]. International Journal of Computer and Information Science, 1982,11 : 341-356.
  • 3Pawlak Z. Rough set: theoretical aspects of reasoning about data [M]. Boston: Kluwer Academic Publishers, 1991.
  • 4Skowron A, Rauszer C. The discernibility matrices and functions in information systems[C]//Slowinski R, ed. Intelligent Deci- sion Support-Handbook of AppUcations and Advances of the Rough Sets Theory. London: Kluwer Academic Publishers,1992:331-362.
  • 5Marzena K. Comparative study of alternative types of knowledge reduction in inconsistent systems [J]. International Journal of Intelligent Systems, 2001,16 : 105-120.
  • 6Kryszkiewicz M. Rough set approach to incomplete information systems [J]. Information Sciences, 1998,112 : 39-49.
  • 7Kryszkiewicz M. Rules in incomplete information Systems[J]. Information Sciences, 1999,113 .. 271-292.
  • 8Bonikowski Z, Bryniarski E, Wybraniec U. Extensions and in-tentions in the rough set theory [J]. Information Sciences, 1998,107 149-167.
  • 9Yao Y Y. Constructive and algebraic methods of theory of rough sets [J]. Information Sciences, 1998,109 .. 21-47.
  • 10Dubois D, Prade H. Rough fuzzy set and fuzzy rough sets [J]. International Journal of General Systems, 1990,17:191-209.

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部