Paper Info
Title
A New X-bar Control Chart for Multiple Dependent State Sampling Using Neutrosophic Exponentially Weighted Moving Average Statistics with Application to Monitoring Road Accidents and Road Injuries
Abstract
In this article, an efficient mean chart for symmetric data have been presented for multiple dependent state (MDS) sampling using neutrosophic exponentially weighted moving average (NEWMA) statistics. The existing neutrosophic exponentially weighted moving average charts are not capable of seizure the unusual changes threatened to the manufacturing processes. The control chart coefficients have been estimated using the symmetry property of the Gaussian distribution for the uncertain environment. The neutrosophic Monte Carlo simulation methodology has been developed to check the efficiency and performance of the proposed chart by calculating the neutrosophic average run lengths and neutrosophic standard deviations. The proposed chart has been compared with the counterpart charts for confirmation of the proposed technique and found to be a robust chart.
Year
DOI
Venue
2021
10.1007/s44196-021-00033-w
International Journal of Computational Intelligence Systems
Keywords
DocType
Volume
MDS sampling, Neutrosophic statistic, EWMA chart, Average run length, Monte Carlo simulation
Journal
14
Issue
ISSN
Citations 
1
1875-6883
0
PageRank 
References 
Authors
0.34
25
5
Name
Order
Citations
PageRank
Nasrullah Khan12610.33
Ahmad Liaquat200.68
Rao G. Srinivasa300.34
Muhammad Aslam429679.45
AL-Marshadi Ali Hussein500.34