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
نویسندگان
چکیده
Abstract In this article, an efficient mean chart for symmetric data have been presented multiple dependent state (MDS) sampling using neutrosophic exponentially weighted moving average (NEWMA) statistics. The existing charts are not capable of seizure the unusual changes threatened to manufacturing processes. control coefficients estimated symmetry property Gaussian distribution uncertain environment. Monte Carlo simulation methodology has developed check efficiency and performance proposed by calculating run lengths standard deviations. compared with counterpart confirmation technique found be a robust chart.
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2021
ISSN: ['1875-6883', '1875-6891']
DOI: https://doi.org/10.1007/s44196-021-00033-w