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Issue:Evaluation and forecasting of technical conditions in complex systems using intuitionistic fuzzy logics

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Title of paper: Evaluation and forecasting of technical conditions in complex systems using intuitionistic fuzzy logics
Author(s):
Toncho Ivanov Boyukov     0000-0002-1349-4893
Faculty of Technical Sciences, Burgas State University "Prof. Dr. Asen Zlatarov", 1 Prof. Yakimov Str., 8010 Burgas, Bulgaria
toncho_b@abv.bg
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 31 (2025), Number 3, pages 332–345
DOI: https://doi.org/10.7546/nifs.2025.31.3.332-345
Download:  PDF (350  Kb, File info)
Abstract: 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.

Keywords: Diagnostics, Efficiency, Accuracy, Evaluation, Uncertainty, Information technology, Intuitionistic fuzzy sets.
AMS Classification: 03E72.
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