INFORMATION TECHNOLOGY FOR THE ASSESSMENT AND SUPPORT OF FUNCTIONAL STABILITY OF WATER TRANSPORT VEHICLES

https://doi.org/10.33815/2313-4763.2025.2.31.064-076

Keywords: information technology, decision support systems, functional stability, water transport, information and cognitive parameters, hybrid intelligence, information and logical model, mathematical model, human factor

Abstract

The article is devoted to the development of methods and information technology tools for assessing and supporting the functional stability of water transport vehicles to ensure its fault tolerance and survivability based on the interaction of a set of safety indicators and human factor indicators in control and decision-making processes at each of its hierarchical levels. An analysis of research in the field of developing methods and tools as well as their practical application for ensuring the stability of water transport vehicles has been conducted. It has been revealed that currently, a promising direction of scientific research is the development of methods, tools, and information technologies for assessing, monitoring and supporting both the technical and safety states of water transport vehicles and the information and cognitive parameters of the human factor in real time. It has been proven that an important aspect of the successful application of these methods is not only their use in adaptive decision support systems (DSS) for making relevant safety decisions, but also the development of a theory of functional stability, which should be based on modern principles of hybrid intelligence – the symbiotic integration of the functionalities of artificial and natural intelligence. An information-logical model has been developed, and an expert assessment has been carried out according to the degree of importance of a set of stability and safety indicators characterizing fault tolerance and survivability, and indicators of information-cognitive parameters of the human factor that affect the functional stability of a water transport vehicle have been determined. Depending on the state of the specified indicators, a fuzzy Bayesian trust network has been constructed, with the help of which, based on the knowledge of experts, a comprehensive assessment of the probability of the functional stability states of the water transport vehicle has been performed. The practical implementation of the proposed method has been carried out, the results obtained have confirmed its practical value, which can be applied to assess and ensure the comprehensive functional stability of the vehicle. A promising direction for further research is the development of methods and tools for adaptive information technology, which should possess the capability to reconfigure parameters and adaprt to changes in internal and external operating conditions to ensure the functional stability of water transport vehicles.

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Published
2026-01-23
Section
AUTOMATION AND COMPUTER INTEGRATED TECHNOLOGIES