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首页> 外文期刊>International journal of general systems >Weighted statistical convergence through difference operator of sequences of fuzzy numbers with application to fuzzy approximation theorems
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Weighted statistical convergence through difference operator of sequences of fuzzy numbers with application to fuzzy approximation theorems

机译:模糊数序列的差分算子的加权统计收敛及其在模糊逼近定理中的应用

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摘要

The purpose of this paper is to introduce the new concept of weighted statistical convergence and strong weighted summability of order beta for sequences of fuzzy numbers involving the ideas of difference operators and two sequences , of positive numbers, and establish the relationship between these notions. Finally, as an application, we apply our notion of weighted -statistical of order beta with a view to proving fuzzy Korovkin-type approximation theorem and provide an interesting example to illustrate our approximation result.
机译:本文的目的是为模糊数列引入加权统计收敛和阶β的强加权可和性这一新概念,其中涉及差分算子和两个正数序列,并建立这些概念之间的关系。最后,作为一种应用,我们将β阶加权统计概念应用到证明模糊Korovkin型逼近定理,并提供一个有趣的例子来说明我们的逼近结果。

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