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。
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 intuitionistic fuzzy information entropy and intuitionistic fuzzy information granularity are established.
出处
《计算机工程与应用》
CSCD
2014年第11期130-134,共5页
Computer Engineering and Applications
基金
福建省自然科学基金面上项目(No.2013J01028)
关键词
粒度计算
直觉模糊信息熵
直觉模糊信息粒度
granular computing
intuitionistic fuzzy information entropy
intuitionistic fuzzy information granularity