We review the literature on statistical process monitoring methods based on neutrosophic
principles. We question some of the underlying assumptions and raise important questions …

The exponential distribution has always been prominent in various disciplines because of its
wide range of applications. In this work, a generalization of the classical exponential …

In the absence of a correct distribution theory for complex data, neutrosophic algebra can be
very useful in quantifying uncertainty. In applied data analysis, implementation of existing …

This chapter is a review study of over two decades (1998–2021) of the introduction and
development of the neutrosophic probability and neutrosophic statistics and their extensions …

Operations research often shortened to the initialism OR, is a discipline that deals with the
development and application of advanced analytical methods to improve decision-making. It …

Mathematical programming has the ability to express competency concepts in a well-defined
mathematical model for a particular situation or system, and the ability to derive …

When performing the simulation process, we encounter many systems that do not follow by
their nature the uniform distribution adopted in the process of generating the random …

The Shewart S-control chart is commonly used as one of the statistical tools for monitoring
the process variability. The existing design of S-control is based on the assumption that …

In this paper, were using moving averages to pave the Neutrosophic time series. similar to
use moving averages to pave the classical time series. the difference, here were dealing …

The control chart based on mean deviation (MD) is customary used as a robust alternative to
the existing Shewhart control charts for observing changes in dispersion parameter of the …