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Introduction
According to Mumtaz Ali [1], Smarandache [2], "Neutrosophic Statistics" is a subdivision of studies within statistics conceived as an appreciation of all types of statistics when confronting situations where data become fuzzy or absent. Much of this originates from Neutrosophy, a theory invented and developed by the Romanian Michelian which pertains to the neutrality of the determinacy of several things or issues. In such ways, employing neutrosophic logic in reliability block diagrams in medicine enables the modelling of uncertainties and imprecisions in a more sophisticated and effective way. Adopting this method, shall improve reliability evaluation accuracy, make better decisions, and enhance overall reliability of medical system elements, processes, and devices.
Neutrosophy provides an opportunity to include unreliable, incomplete, and uncertain information concerning the parameters of any component system. If one does not assume their exact reliability values, one may use intervals or vague values for each separate component instead. For instance, if a component's reliability is 0.9, Fuzzy logic allows expressing this reliability in less definite terms such as a range or fuzzy set. Neutrosophic technique introduces the element of neutrality, which is principally concerned with modelling a system's ‘indeterminate’ or ‘unknown’ reliability issues. This is especially important when performing activity with insufficient information to do a task or when the reliability is time dependent. The construction of neutrosophic logic allows considering reliability block designs for analysis in more complex conditions when data are not binary but neutrosophic. This allows for conducting more detailed assessments regarding reliability, eradicating simplistic methods where no allowance is made for a considerable level of indeterminacy or uncertainty.
The Neutrosophic set is a three-valued fuzzy set with three components comprising of membership (truthiness), non-membership (falsity), and uncertainty (indeterminacy). The neutrosophic logic achieves sound logic addressing issues that tend to be unstable with logical compounds by operating on various sets and placing arbitrary words. Although a few research works have been undertaken on preparing sample matrices using neutrosophic procedures, very few have thoroughly considered the uncertainty factors and unreliable information. From the available literature, such uncertainty is usually dealt with by making certain assumptions. It is mainly operationalized in the context of investigating acceptance sampling plans with the use of neutrosophic sets, Kandasamy [3].
The safety and accuracy of clinical...