Next Article in Journal
Drying of Phyla nodiflora Leaves: Antioxidant Activity, Volatile and Phytosterol Content, Energy Consumption, and Quality Studies
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
Article Menu

Export Article

Open AccessArticle
Processes 2019, 7(4), 209; https://doi.org/10.3390/pr7040209

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.
Received: 12 March 2019 / Revised: 4 April 2019 / Accepted: 8 April 2019 / Published: 12 April 2019
  |  
PDF [944 KB, uploaded 12 April 2019]
  |  

Abstract

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
Figures

Figure 1

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).
SciFeed

Share & Cite This Article

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Processes EISSN 2227-9717 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top