In this study, a fuzzy multiple deferred state (FMDS) attribute sampling plan is proposed when the proportion parameter (p) is uncertain. In this plan, the decision upon the acceptance of the submitted lot is based on both current lot information and future successive lots information. Then, the authors prefer to discuss the proposed plan more in a specific case designated as FMDS(0,1). Tables have been prepared to construct and determine parameters of the FMDS(0,1) plan by use of the two-point approach for determining the plan selection. In order to be fully informed, some applicable examples are given. Also, the proposed plan is compared with the existing fuzzy single, fuzzy double, and fuzzy sequential sampling plans. The obtained results show that the main advantage of the FMDS(0,1) plan is to have a minimum average sample number under the same conditions. Moreover, the authors show that the proposed plan is well-defined since it turns into a traditional case when p is crisp.

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