During mathematical modeling of real technical system we can meet any type and rate model uncertainty. Its reasons can be incognizance of modelers or data inaccuracy. So, classification of uncertainties, with respect to their sources, distinguishes between aleatory and epistemic ones. The aleatory uncertainty is an inherent data variation associated with the investigated system or its environment. Epistemic one is an uncertainty that is due to a lack of knowledge of quantities or processes of the system or the environment. In this short communication, we discuss quadruple neutrosophic numbers and their potential application for realistic modelling of physical systems, especially in the reliability assessment of engineering structures.
Comments: 6 Pages. This paper has been submitted to Axioms journal (MDPI). Comments are welcome
[v1] 2019-04-17 07:39:46
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