期刊文献+

粗糙集中不确定性测量的修正粗糙熵方法 被引量:2

Modified rough entropy method for measuring uncertainty in rough sets
在线阅读 下载PDF
导出
摘要 分析了引起粗糙集中不确定性的因素,对已有的测量不确定性的粗糙度与粗糙熵方法进行了比较,提出了一种修正的粗糙熵方法,证明了此粗糙熵的性质,并将基于等价关系的修正粗糙熵拓展到基于一般二元关系下的广义修正粗糙熵,同时给出了广义修正粗糙熵的定义及性质.通过分析和实例可以看出,所提出的修正粗糙熵方法可以用来更合理、更精确地测量粗糙集中的不确定性. The factors leading to uncertainty in rough sets were analyzed; the existing roughness and rough entropy methods for measuring uncertainty were compared; a modified rough entropy method was presented, and the properties of the rough entropy were proved. The modified rough entropy based on equivalence relation was extended to the generalized modified rough entropy based on general binary relation, and the definition and proportions of the generalized modified rough entropy were given. The analysis and real example show that the modified rough entropy method for measuring uncertainty in rough sets is more reasonable and more accurate than the classical methods.
出处 《海军工程大学学报》 CAS 北大核心 2006年第4期26-29,56,共5页 Journal of Naval University of Engineering
基金 国家自然科学基金重点资助项目(60234010) 航空科学基金资助项目(02E52025)
关键词 粗糙集 不确定性 修正粗糙熵 广义修正粗糙熵 rough sets uncertainty modified rough entropy generalized modified rough entropy
  • 相关文献

参考文献7

  • 1Pawlak Z.Rough sets:Theoretical Aspects of Reasoning About Data[M].Dordrecht:Kluwer Academic Publishers,1991.
  • 2Swiniarski R W,Skowron A.Rough set methods in feature selection and recognition[J].Pattern Recognition Letters,2003,24(6):833-849.
  • 3Seungkoo L,George V.An application of rough set theory to defect detection of automotive glass[J].Mathematics and Computers in Simulation,2002,60(3-5):225-231.
  • 4Ananthanarayana V S,Murty M N,Subramanian D K.Tree structure for efficient data mining using rough sets[J].Pattern Recognition Letters,2003,24(6):851-862.
  • 5Guo P,Tanaka H.Decision analysis based on fused double exponential possibility distributions[J].European Journal of Operational Research,2003,148(3):467-479.
  • 6Beaubouef T,Petry F E,Arora G.Information-theoretic measures of uncertainty for rough sets and rough relational databases[J].Journal of Information Sciences,1998,109:185-195.
  • 7Zhou Yuming,Xu Baowen.IMPROVED ACCURACY AND ROUGHNESS MEASURES FOR ROUGH SETS[J].Journal of Electronics(China),2002,19(3):320-323. 被引量:2

二级参考文献1

  • 1Zdzis?aw Pawlak.Rough sets[J].International Journal of Computer & Information Sciences.1982(5)

共引文献1

同被引文献22

  • 1柏延臣,王劲峰.遥感数据专题分类不确定性评价研究:进展、问题与展望[J].地球科学进展,2005,20(11):1218-1225. 被引量:31
  • 2李三平,葛咏,李德玉.遥感信息处理不确定性的可视化表达[J].国土资源遥感,2006,18(2):20-25. 被引量:7
  • 3王向阳,蔡念,杨杰,刘小军.基于近似精度和条件信息熵的粗糙集不确定性度量方法[J].上海交通大学学报,2006,40(7):1130-1134. 被引量:9
  • 4程玉胜,张佑生,胡学钢.基于边界域的知识粗糙熵与粗集粗糙熵[J].系统仿真学报,2007,19(9):2008-2011. 被引量:16
  • 5Gopal S, Woodcock C. Theory and methods for accuracy assessment of thematic maps using fuzzy sets. Photogrammetric Engineering and Remote Sensing, 1994, 60(2): 181-188.
  • 6Steele B M,Winne J C,Redmond R L.Estimation and mapping of misclassification probabilities for thematic land cover maps.Remote Sensing of Environment,1998,66: 192-202.
  • 7McIver D K,Friedl M A.Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods.IEEE Transactions on Geoscience and Remote Sensing,2001,39(9): 1959-1968.
  • 8柏延臣,王劲峰.遥感信息的不确定性研究.分类与尺度效应模型.北京:地质出版社,2003.
  • 9Pan X,Zhang S Q,Zhang H Q,Na X D,Li X F.A variable precision rough set approach to the remote sensing land use/cover classification.Computers & Geosciences,2010,36(12): 1466-1473.
  • 10Suresh G V,Reddy E V,Reddy E S.Uncertain data classification using rough set theory.Advances in Intelligent and Soft Computing,2012,132: 869-877.

引证文献2

二级引证文献7

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