Inspection Strategy under Indeterminacy Based on Neutrosophic Coefficient of Variation

Symmetry

Muhammad Aslam¹  MansourSattam Aldosari¹ 

[1] Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia;

关键词: neutrosophic statistical interval method;    classical statistics;    fuzzy logic;    producer’s risk;    consumer’s risk;   

DOI  :  10.3390/sym11020193

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown