We will introduce a neutrosophic exponentially weighted moving average (NEWMA) statistic for the attribute data. We will use the proposed NEWMA to design an attribute control chart. We will introduce the neutrosophic Monte Carlo simulation to find the neutrosophic average run length (NARL). The comparative study shows the efficiency of the proposed NEWMA attribute. Two examples of having neutrosophic parameters will be given to explain the proposed control chart. We hope that the proposed chart will perform better under uncertainty.

中文翻译：

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NEWMA NP控制图的设计，以监测中智性不合格品

我们将为属性数据引入中智指数加权移动平均值（NEWMA）统计信息。我们将使用拟议的NEWMA设计属性控制图。我们将介绍中智的蒙特卡洛模拟，以找到中智的平均游程长度（NARL）。对比研究表明了所提出的NEWMA属性的有效性。将给出两个具有中智参数的示例来说明所建议的控制图。我们希望所建议的图表在不确定的情况下表现更好。