Neutrosophic Statistical Process Monitoring

Authors

  • Muhammad Aslam Department of Statistics, Faculty of Science, King Abdulaziz University Jeddah 21551, Saudi Arabia

Keywords:

classical statistics, neutrosophic statistics, control chart, sampling plans, average run length

Abstract

Woodall et al. [1] raised some issues regarding neutrosophic methodology. In this paper, we will address their comments and questions related to the use of neutrosophic statistics in process monitoring. We provided the responses to some important questions/comments related to neutrosophic statistical process monitoring.

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Published

2022-08-01

Issue

Vol. 51 (2022): Neutrosophic Sets and Systems

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Aslam, M. . (2022). Neutrosophic Statistical Process Monitoring. Neutrosophic Sets and Systems, 51, 450-454. https://fs.unm.edu/nss8/index.php/111/article/view/2577