All traditional acceptance sampling plan are constructed with crisp proportion of defective items (p). But in the manufacturing processes, p may not be precisely known. So, in this paper fuzzy multiple deferred state sampling plan by attribute is proposed in the presence of imprecise p by applying fuzzy sets theory and probability theory. Here, the authors concentrate more on a specific case of developed plan for preparing a table to find its parameters for given specified fuzzy acceptable and limiting quality levels. Also, some practical examples are given to be fully informed. The obtained results show that the proposed plan not only is well-defined, but also has higher discriminatory power than fuzzy single sampling plan with zero and one acceptance numbers.

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