利用模糊SPRT改进序贯抽样方案

R. Afshari, B. S. Gildeh
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引用次数: 5

摘要

本文提出了一种用于模糊假设检验的改进属性序列抽样方案(SSP)。与现有的模糊SSP不同,改进方案将连续采样区域划分为三部分,并根据其对应程度确定绘制点出现在哪一部分的提交批次。针对该方案,笔者构造了特定的模糊接受和拒绝数表,并绘制了不同模糊度值的模糊接受和拒绝线。为了充分了解情况,还讨论了一个实际例子。计算结果表明,改进后的平面在参数清晰的情况下转化为经典平面,具有良好的定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified sequential sampling plan using fuzzy SPRT
In this paper, a modified attribute sequential sampling plan (SSP) for fuzzy hypotheses testing is proposed with crisp data. Unlike existing fuzzy SSP, the modified plan partitions continue sampling region into three parts, and decides the submitted lot based on which part the plotted point is appeared according to its corresponding degree. For such a plan, the authors construct particular table of fuzzy acceptance and rejection numbers as well as plotted fuzzy acceptance and rejection lines for different values of ambiguity. In order to be fully informed, a practical example is also discussed. The obtained result shows that the modified plan is well-defined since it converts to a classical plan as the parameters are crisp.
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