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Single‑stage and two‑stage total failure‑based group‑sampling plans for the Weibull distribution under neutrosophic statistics

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dc.creator Aslam, Muhammad
dc.creator Rao, Srinivasa G.
dc.creator Khan, Nasrullah
dc.date 2022-03-08T10:43:03Z
dc.date 2022-03-08T10:43:03Z
dc.date 2021
dc.date.accessioned 2022-10-20T13:09:30Z
dc.date.available 2022-10-20T13:09:30Z
dc.identifier Aslam, M., Rao, G. S., & Khan, N. (2021). Single-stage and two-stage total failure-based group-sampling plans for the Weibull distribution under neutrosophic statistics. Complex & Intelligent Systems, 7(2), 891-900.
dc.identifier DOI:10.1007/s40747-020-00253-1
dc.identifier http://hdl.handle.net/20.500.12661/3450
dc.identifier.uri http://hdl.handle.net/20.500.12661/3450
dc.description Full text article. Also available at https://doi.org/10.1007/s40747-020-00253-1
dc.description If the sample or population has vague, inaccurate, unidentifed, defcient, indecisive, or fuzzy data, then the available sampling plans could not be suitable to use for decision-making. In this article, an improved group-sampling plan based on time truncated life tests for Weibull distribution under neutrosophic statistics (NS) has been developed. We developed improved single and double group-sampling plans based on the NS. The proposed design neutrosophic plan parameters are obtained by satisfying both producer’s and consumer’s risks simultaneously under neutrosophic optimization solution. Tables are constructed for the selected shape parameter of Weibull distribution and various combinations of neutrosophic group size. The efciency of the proposed group-sampling plan under the neutrosophic statistical interval method is also compared with the crisp method grouped sampling plan under classical statistics.
dc.language en
dc.publisher Springer
dc.subject Neutrosophic statistics
dc.subject Sampling plans
dc.subject Neutrosophic non-linear problem
dc.subject Consumer’s risk
dc.subject Group acceptance sampling
dc.title Single‑stage and two‑stage total failure‑based group‑sampling plans for the Weibull distribution under neutrosophic statistics
dc.type Article


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