Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (7): 29-31.DOI: 10.3778/j.issn.1002-8331.2010.07.009

• 研究、探讨 • Previous Articles     Next Articles

Rough entropy under tolerance relation in set-valued information systems

MA Jian-min1,ZHU Chao-hui2,ZHANG Wen-xiu3   

  1. 1.Department of Mathematics and Information Sciences,Chang’an University,Xi’an 710064,China
    2.Research Institute of Concrete Module of Zhuocheng,Shenzhen,Guangdong 518000,China
    3.Institute of Information and System Science,Faculty of Science,Xi’an Jiaotong University,Xi’an 710049,China
  • Received:2009-07-09 Revised:2009-09-10 Online:2010-03-01 Published:2010-03-01
  • Contact: MA Jian-min

相容关系下集值信息系统的粗糙熵

马建敏1,朱朝晖2,张文修3   

  1. 1.长安大学 理学院 数学与信息科学系,西安 710064
    2.深圳卓成混凝土模块研究所,广东 深圳 518000
    3.西安交通大学 理学院 信息与系统科学研究所,西安 710049
  • 通讯作者: 马建敏

Abstract: Entropy theory is an effective tool for uncertainty study.Based on a tolerance relation defined on a set-valued information system,rough entropy is proposed.The maximum and minimum values of rough entropy are shown.And the monotony of rough entropy is also proved.

Key words: set-valued information system, tolerance relation, information granule, rough entropy

摘要: 熵理论是信息系统中不确定性研究的有效工具之一。首先给出了集值信息系统的相容关系,在此基础上引入了粗糙熵。讨论了粗糙熵的最大、最小值,并证明了粗糙熵的单调性。

关键词: 集值信息系统, 相容关系, 信息粒, 粗糙熵

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