属性广义模糊多重延迟状态（GFMDS）抽样方案的设计
Design of generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes
摘要：
.抽样计划是供应链和需求链质量检查战略的试验工具。这些计划被证明是经济上可行的质量检查过程中，但在计划参数的不确定性挑战传统的验收抽样计划的应用的可靠性。本研究提出一种广义模糊多重延迟状态（GFMDS）的抽样计划，考虑在确定一批中的缺陷的百分比的确切值的模糊属性。业绩计量已经确定，计划是按照最低平均抽样数设计的。对现有的属性模糊验收抽样方案进行了比较研究，并对GFMDS方案的效率进行了相关的观察。分析了检验误差对抽样程序的影响，并观察到与强化检验误差相对应的计划验收标准的下降。数值算例验证了结果的正确性
英文摘要：
. A sampling plan is a pilot tool for a supply and demand chain quality check strategy. These plans proved to be economically viable for the quality inspection processes but the uncertainty in the plan parameters challenged the reliability of the application of traditional acceptance sampling plans. This study proposes a generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes that consider the ambiguity in determining the exact value of the percentage of defectives in a batch. The performance measures have been derived and the plan is designed in terms of a minimum average sample number. A comparison study is done over the existing fuzzy acceptance sampling plans for attributes and a pertinent observation is made regarding the efficiency of the GFMDS scheme. The effect of inspection errors on the sampling procedure is analyzed and the drop in the acceptance criteria of the plan is observed corresponding to the intensified inspection errors. Several numerical examples are presented to validate the results
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