Strong and weak laws of large numbers for weighted sums of fuzzy set-valued random variables

被引：0
|
作者：
Guan, L [1 ]
Li, SM [1 ]
机构：
[1] Beijing Univ Technol, Dept Math Appl, Beijing 100022, Peoples R China
来源：
SOFT METHODOLOGY AND RANDOM INFORMATION SYSTEMS | 2004年
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we shall present weak and strong laws of large numbers (WLLN and SLLN) for weighted sums of independent (not necessarily identically distributed) fuzzy set-valued random variables in the sense of the extended Hausdorff metric d(H)(infinity), based on the results of set-valued random variable obtained by Taylor and Inoue [34], [35]. This work is a continuation of [21].
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页码：117 / 124
页数：8
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