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T-norm-based limit theorems for fuzzy random variables

机译:基于T模的模糊随机变量极限定理

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摘要

The objective of this paper is to derive some limit theorems of fuzzy random variables under the extension principle associated with continuous Archimedean triangular norms (t-norms). First of all, some convergence theorems for the sum of fuzzy random variables in chance measure and expected value are proved respectively based on the arithmetics of continuous Archimedean triangular norms. Then, a law of large numbers for fuzzy random variables is established by using the obtained convergence theorems. The results of the derived law of large numbers can degenerate to the strong laws of large numbers for random variables and fuzzy variables, respectively.
机译:本文的目的是根据与连续阿基米德三角形范数(t-范数)有关的扩展原理,得出模糊随机变量的一些极限定理。首先,基于连续阿基米德三角形范数的算法,分别证明了机会度量和期望值中模糊随机变量之和的一些收敛定理。然后,利用所获得的收敛定理,建立模糊随机变量的大数定律。对于随机变量和模糊变量,派生的大数定律的结果可以退化为大数的强定律。

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