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Weighted statistical convergence through difference operator of sequences of fuzzy numbers with application to fuzzy approximation theorems

机译:通过应用于模糊近似定理的模糊数差差分算子加权统计收敛

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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:本文的目的是介绍加权统计收敛的新概念,并对涉及差异算子和两个序列的思想的模糊数,以及建立这些概念之间的关系的模糊数的强加权相比之下。最后,作为一个应用程序,我们将我们的加权统计数据概念应用于订单测试程序,以便证明模糊Korovkin型近似定理并提供有趣的示例以说明我们的近似结果。

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