Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (11): 130-134.

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Information entropy in intuitionistic fuzzy information systems

YANG Weiping1, LIN Menglei2   

  1. 1.School of Mathematics and Computer Science, Longyan University, Longyan, Fujian 364012, China
    2.Department of Computer Science and Engineering, Minnan Normal University, Zhangzhou, Fujian 363000, China
  • Online:2014-06-01 Published:2015-04-08

直觉模糊信息系统中的信息熵

杨伟萍1,林梦雷2   

  1. 1.龙岩学院 数学与计算机科学学院,福建 龙岩 364012
    2.闽南师范大学 计算机科学与工程系,福建 漳州 363000

Abstract: Intuitionistic fuzzy information entropy and intuitionistic fuzzy information granularity are an important tool to effectively measure the uncertainty of intuitionistic fuzzy information systems. Intersection, union, subtraction and complement operators of granular structures in intuitionistic fuzzy information systems are proposed in this paper. Intuitionistic fuzzy information entropy based on intuitionistic fuzzy granular structures is presented, and the relationships between intui-tionistic fuzzy information entropy and intuitionistic fuzzy information granularity are established.

Key words: granular computing, intuitionistic fuzzy information entropy, intuitionistic fuzzy information granularity

摘要: 在直觉模糊信息系统上,直觉模糊信息熵和直觉模糊信息粒度是两种有效地进行不确定性研究的重要工具。在直觉模糊信息系统上,引入直觉模糊粒结构的交、并、差、补等四种运算。提出了基于直觉模糊粒结构的直觉模糊信息熵;并研究了直觉模糊信息熵与直觉模糊信息粒度之间的关系。

关键词: 粒度计算, 直觉模糊信息熵, 直觉模糊信息粒度