Convergence of complex uncertain sequences

被引：82
|
作者：
Chen, Xiumei [1 ,2 ]
Ning, Yufu [1 ,2 ]
Wang, Xiao [1 ,2 ]
机构：
[1] Shandong Youth Univ Polit Sci, Sch Informat Engn, Jinan 250103, Peoples R China
[2] Key Lab Informat Secur & Intelligent Control Univ, Jinan, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2016年 / 30卷 / 06期
关键词：
Uncertainty theory; complex uncertain variable; convergence; INDEX;
D O I：
10.3233/IFS-152083
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. This paper introduces the convergence concepts of complex uncertain sequences: convergence almost surely (a.s.), convergence in measure, convergence in mean, convergence in distribution and convergence uniformly almost surely. In addition, relationships among them are discussed.
引用
收藏
页码：3357 / 3366
页数：10
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