期刊
IEEE ACCESS
卷 10, 期 -, 页码 100456-100462出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3207188
关键词
Control charts; Statistical analysis; Process monitoring; Arithmetic; Random variables; Process control; Weibull distribution; Control chart; exponentially weighted moving average (EWMA) chart; interval arithmetic; interval data; Shewhart control chart
资金
- Virginia Tech Open Access Subvention Fund
This review article discusses the literature on statistical process monitoring methods based on neutrosophic principles, questioning underlying assumptions and raising important questions. These issues need to be addressed before taking this methodology seriously.
We review the literature on statistical process monitoring methods based on neutrosophic principles. We question some of the underlying assumptions and raise important questions about these and other neutrosophic statistical methods that need to be addressed before the methodology could be taken seriously.
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