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Symmetry 2019, 11(2), 193; https://doi.org/10.3390/sym11020193

Inspection Strategy under Indeterminacy Based on Neutrosophic Coefficient of Variation

Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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Received: 4 January 2019 / Revised: 22 January 2019 / Accepted: 30 January 2019 / Published: 9 February 2019
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Abstract

The existing sampling plans which use the coefficient of variation (CV) are designed under classical statistics. These available sampling plans cannot be used for sentencing if the sample or the population has indeterminate, imprecise, unknown, incomplete or uncertain data. In this paper, we introduce the neutrosophic coefficient of variation (NCV) first. We design a sampling plan based on the NCV. The neutrosophic operating characteristic (NOC) function is then given and used to determine the neutrosophic plan parameters under some constraints. The neutrosophic plan parameters such as neutrosophic sample size and neutrosophic acceptance number are determined through the neutrosophic optimization solution. We compare the efficiency of the proposed plan under the neutrosophic statistical interval method with the sampling plan under classical statistics. A real example which has indeterminate data is given to illustrate the proposed plan. View Full-Text
Keywords: neutrosophic statistical interval method; classical statistics; fuzzy logic; producer’s risk; consumer’s risk neutrosophic statistical interval method; classical statistics; fuzzy logic; producer’s risk; consumer’s risk
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Aslam, M.; Aldosari, M.S. Inspection Strategy under Indeterminacy Based on Neutrosophic Coefficient of Variation. Symmetry 2019, 11, 193.

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