期刊文献+

基于相似关系的变精度粗糙集的数据约简 被引量:1

DATA REDUCTION OF VARIABLE PRECISION ROUGH SET BASED ON SIMILARITY RELATIONSHIP
下载PDF
导出
摘要 基于最大相似类的变精度粗糙集模型.此模型把变精度粗糙集的基础由等价关系拓展到条件更弱的相似关系,更好地利用数据间的相关信息,扩大了粗糙集理论的应用范围.讨论了相似变精度粗糙集的性质与属性约简,举例说明了相似的变精度粗糙集在大学生体质检测数据约简中的应用. In this paper, variable precision rough set model based on the most similar type is researched. In this model, the basis of the variable precision rough set is expanded to conditions similar to the relationship between the weak form the equivalence relation, makes better use of data between the relevant information, the expansion the rough set theory applications. The nature and attribute reduction about the similar variable pre- cision rough set is discussed, examples of similar variable precision rough set in data reduction of the physical examination in the college.
作者 柴造坡
出处 《哈尔滨师范大学自然科学学报》 CAS 2009年第4期18-21,共4页 Natural Science Journal of Harbin Normal University
关键词 相似关系 Pawlak粗糙集 相似变精度粗糙集 属性约简 Similarity relationship Pawlak rough set Similar variable precision rough set attribute reduction
  • 相关文献

参考文献5

二级参考文献15

  • 1Pawlak Z. Rough sets[J]. International Journal of Computer and Information Sciences, 1982,11:341 -356.
  • 2Slowinski R, Vanderpooten D. A generalized definition of rough approximations based on similarity [ J ]. IEEE Transaction on Knowledge and Data Engineering, 2000, 12(2) : 331 - 336.
  • 3Kryszkiewicz M. Rough set approach to incomplete information systems [J]. Information Sciences, 1995, 112: 39- 49.
  • 4Ziarko W. Variable precision rough set model [J]. Journal of Computer and System Sciences, 1993,46(1) :39 - 59.
  • 5Beynon M. Reducts within the variable precision rough sets model: A further investigation [ J]. European Journal of Operational Research, 2001, 124:592 - 605.
  • 6Aijun An, Ning Shan,et al. Discovering rules for water demand prediction: An enhanced rough-set approach [J]. Applications of Artificial Intelligence, 1996,9(6) : 645 - 653.
  • 7王珏,王任,苗夺谦,郭萌,阮永韶,袁小红,赵凯.基于Rough Set理论的“数据浓缩”[J].计算机学报,1998,21(5):393-400. 被引量:239
  • 8苗夺谦,胡桂荣.知识约简的一种启发式算法[J].计算机研究与发展,1999,36(6):681-684. 被引量:507
  • 9王国胤.Rough集理论在不完备信息系统中的扩充[J].计算机研究与发展,2002,39(10):1238-1243. 被引量:303
  • 10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:190

共引文献71

同被引文献9

引证文献1

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