摘要
通过对一类覆盖粗糙直觉模糊集模型中粗糙度定义的分析,对其所存在疏漏进行了改进;再将粗糙熵的概念引入到该模型,研究直觉模糊集的不确定度量;通过例子说明该度量的有效性。
Based on the analysis of a class of covering rough intuitionistic fuzzy set model, it gives some technical improve-ments for an existing definition of roughness degree. Furthermore, rough entropy is introduced to the covering rough intui-tionistic fuzzy set mode and its uncertainly measure is discussed. An example illustrates the efficiency of the proposed roughness entropy.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第20期131-134,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.61379021
No.11301367
No.11061004)
福建省自然科学基金(No.2013J01029)
关键词
覆盖
直觉模糊集
粗糙度
粗糙熵
粗糙集
covering
intuitionistic fuzzy sets
rough degree
rough entropy
rough set
