Design of a New Attribute Control Chart Under Neutrosophic Statistics

被引:0
作者
Muhammad Aslam
Rashad A. R. Bantan
Nasrullah Khan
机构
[1] King Abdulaziz University,Department of Statistics, Faculty of Science
[2] King Abdulaziz University,Department of Marine Geology, Faculty of Marine Science
[3] Jhang Campus,Department of Statistics
[4] University of Veterinary and Animal Sciences,undefined
来源
International Journal of Fuzzy Systems | 2019年 / 21卷
关键词
Neutrosophic statistics; Neutrosophic average run length; Neutrosophic algorithm; Classical statistics; Simulation;
D O I
暂无
中图分类号
学科分类号
摘要
In this manuscript, we will originally design a Shewhart attribute control chart under the neutrosophic statistical interval method. The neutrosophic measures to study the performance of the proposed chart are given. The neutrosophic control chart coefficients are determined through the neutrosophic algorithm. A simulation study is also added to show the efficiency of the proposed control chart under the neutrosophic statistical interval method over the attribute control chart under the classical statistics. The comparison of the proposed chart with the existing chart is also given in terms of neutrosophic average run length (NARL). Some tables of NARL are given and explained using the real data from the company.
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页码:433 / 440
页数:7
相关论文
共 78 条
[1]  
Alipour H(2010)Fuzzy multivariate exponentially weighted moving average control chart Int. J. Adv. Manuf. Technol. 48 1001-1007
[2]  
Noorossana R(2018)A new sampling plan using neutrosophic process loss consideration Symmetry 10 132-408
[3]  
Aslam M(2018)Testing of Grouped Product for the Weibull Distribution Using Neutrosophic Statistics Symmetry 10 403-15
[4]  
Aslam M(2018)Design of New Sampling Plans for Multiple Manufacturing Lines under Uncertainty Int. J. Fuzzy Syst. 13 403-1663
[5]  
Arif OA(1983)A fuzzy set theoretic interpretation of economic control limits Eur. J. Oper. Res. 9 208-2694
[6]  
Aslam M(2017)Scale effect and anisotropy analyzed for neutrosophic numbers of rock joint roughness coefficient based on neutrosophic statistics Symmetry 9 123-1903
[7]  
Raza MA(2017)Expressions of rock joint roughness coefficient using neutrosophic interval statistical numbers Symmetry 7 11-1054
[8]  
Bradshaw CW(1950)A Chi square chart for controlling a set of percentages Ind. Qual. Control 8 1654-451
[9]  
Chen J(2008)A fuzzy approach to define sample size for attributes control chart in multistage processes: an application in engine valve manufacturing process Appl. Soft Comput. 161 2684-1480
[10]  
Ye J(2010)An application of fuzzy random variables to control charts Fuzzy Sets Syst. 79 1893-1195