Next Article in Journal
Drying of Phyla nodiflora Leaves: Antioxidant Activity, Volatile and Phytosterol Content, Energy Consumption, and Quality Studies
Next Article in Special Issue
Daytime/Nighttime Event-Based PI Control for the pH of a Microalgae Raceway Reactor
Previous Article in Journal
Benzoic Acid Derivatives of Ifloga spicata (Forssk.) Sch.Bip. as Potential Anti-Leishmanial against Leishmania tropica
Previous Article in Special Issue
Controller Design and Control Structure Analysis for a Novel Oil–Water Multi-Pipe Separator
Open AccessArticle

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

1
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
2
Department of Marine Geology, Faculty of Marine Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
3
Department of Statistics, University of Veterinary and Animal Sciences (Jhang campus), Lahore 54000, Pakistan
*
Author to whom correspondence should be addressed.
Processes 2019, 7(4), 209; https://doi.org/10.3390/pr7040209
Received: 12 March 2019 / Revised: 4 April 2019 / Accepted: 8 April 2019 / Published: 12 April 2019
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. View Full-Text
Keywords: control chart; fuzzy logic; neutrosophic statistic; incomplete data; belief statistic; gamma distribution control chart; fuzzy logic; neutrosophic statistic; incomplete data; belief statistic; gamma distribution
Show Figures

Figure 1

MDPI and ACS Style

Aslam, M.; Bantan, R.A.R.; Khan, N. Monitoring the Process Based on Belief Statistic for Neutrosophic Gamma Distributed Product. Processes 2019, 7, 209.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop