This article demonstrates how intuitionistic fuzzy logics improve monitoring and diagnostics of systems, suggesting more accurate predictions of technical conditions.
This article describes methods for monitoring and studying the technical conditions and diagnostics of systems and objects, which should provide us with easy access to information about the state of a given system or object from a monitored system. Evaluations using intuitionistic fuzzy sets provide us with a framework for implementing new approaches during system operation in real time, which gives us the opportunity to improve the efficiency and accuracy of the processes. Here we integrate factors such as measurements (e.g., temperature, deformation, degradation) from system components and map them into intuitionistic fuzzy assessments. The method takes into account the occurring changes in the state, external and internal influencing factors and allows us to predict critical states using analytical and simulation tools. The structure thus built allows us to more accurately and specifically monitor and analyze the observed system.
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Toncho Ivanov Boyukov (2025) studied this question.
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