您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(理学版)》

山东大学学报(理学版) ›› 2015, Vol. 50 ›› Issue (05): 35-39.doi: 10.6040/j.issn.1671-9352.0.2014.096

• 论文 • 上一篇    下一篇

不协调目标信息系统中基于对象子集的μ-约简

邱婷婷, 李克典   

  1. 闽南师范大学数学与统计学院, 福建 漳州 363000
  • 收稿日期:2014-03-17 出版日期:2015-05-20 发布日期:2015-05-29
  • 作者简介:邱婷婷(1989-),女,硕士研究生,研究方向为粗糙集理论及其应用.E-mail:821169952@qq.com
  • 基金资助:
    国家自然科学基金资助项目(61379021,11471153);福建省自然科学基金资助项目(2013J01029)

μ-reduction based on the subset of the objects in inconsistent information systems

QIU Ting-ting, LI Ke-dian   

  1. College of Mathematics and Statistics, Minnan Normal University, Zhangzhou 363000, Fujian, China
  • Received:2014-03-17 Online:2015-05-20 Published:2015-05-29

摘要: 利用集族上的等价关系,引入不协调目标信息系统中基于对象子集的μ-约简的概念,得到了μ-约简的一些性质和判定定理及相应的可辨识矩阵,同时提出不协调目标信息系统中基于对象子集的μ-约简的计算方法,用实例验证了该方法的有效性。

关键词: &mu, -约简, 可辨识矩阵, 不协调目标信息系统, 对象子集

Abstract: The μ-reduction based on the subsets of the objects in inconsistent information systems is given by the equivalence relation on the set group. Also, some properties of μ-reduction,the judgement theorem and corresponding discernibility matrix with respect to the μ-reduction are obtained. And an approach to calculate μ-reduction is provided. A numerical example is used to illustrate the validity of this method.

Key words: subsets of the objects, μ-reduction, discernibility matrix, inconsistent information systems

中图分类号: 

  • TP18
[1] PAWLAK Z. Rough sets: theoretical aspects of reasoning about data[M]. Boston: Kluwer Academic Publishers, 1991.
[2] PAWLAK Z, SKOWRON A. Rough sets: some extensions[J]. Information Sciences, 2007, 177(1):28-40.
[3] 张文修, 梁怡, 吴伟志. 信息系统与知识发现[M]. 北京: 科学出版社, 2003. ZHANG Wenxiu, LIANG Yi, WU Weizhi. Information systems and knowledge discovery[M]. Beijing: Science Press, 2003.
[4] 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. WANG Jue, MIAO Duoqian, ZHOU Yujian. Rough set theory and its application: a survey[J]. Pattern Recognition and Artificial Intelligence, 1996, 9(4):337-344.
[5] 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. ZHANG Wenxiu, MI Jusheng, WU Weizhi. Knowledge reductions in inconsistent information systems[J]. Chinese Journal of Computers, 2003, 26(1):12-18.
[6] GRECO S, MATARAZZO B, SLOWINSKI R. Rough approximation of a preference relation by dominance relations[J]. European Journal of Operational Research, 1999, 117(1):63-83.
[7] KRYSZKIEWICZ M. Comparative study of alternative types of knowledge reduction in inconsistent systems[J]. International Journal of Intelligent Systems, 2001, 16(1):105-120.
[8] 翟翠红, 秦克云. 决策表中基于对象的μ-约简方法研究[J]. 计算机科学与探索, 2014, 8(4):467-472. ZHAI Cuihong, QIN Keyun. Research on μ-reduction method for objects in decision table[J]. Journal of Frontiers of Computer Science and Technology, 2014, 8(4):467-472.
[9] 张文修,仇国芳. 基于粗糙集的不确定决策[M].北京:清华大学出版社,2005. ZHANG Wenxiu, QIU Guofang. Uncertainty decision based on rough set[M]. Beijing: Tsinghua University Press, 2005.
[1] 薄纯鑫, 姚炳学. (λ, μ)-反模糊粗糙子群[J]. 山东大学学报(理学版), 2015, 50(12): 23-27.
[2] 吕红杰, 刘静静, 齐静, 刘硕. 弱耗散μ-Hunter-Saxton方程的爆破[J]. 山东大学学报(理学版), 2015, 50(05): 55-59.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!