Monitoring the Process Based on Belief Statistic for Neutrosophic Gamma Distributed Product

Processes

RashadA. R. Bantan¹  Muhammad Aslam²  Nasrullah Khan³ 

[1] Department of Marine Geology, Faculty of Marine Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia;Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia;Department of Statistics, University of Veterinary and Animal Sciences (Jhang campus), Lahore 54000, Pakistan;

关键词: control chart;    fuzzy logic;    neutrosophic statistic;    incomplete data;    belief statistic;    gamma distribution;   

DOI  :  10.3390/pr7040209

来源: DOAJ

【 摘 要 】

In this paper, we developed a control chart methodology for the monitoring the mean time between two events using the belief estimator under the neutrosophic gamma distribution. The proposed control chart coefficients and the neutrosophic average run length (NARL) have been determined using different process settings. The performance of the proposed chart is compared with the control chart under classical statistics in terms of NARL using the simulation data and real example. From comparisons, it is concluded that the proposed chart is efficient, effective and adequate to be used under uncertainty environment than the chart under classical statistics.

【 授权许可】

Unknown