The development of a method for increasing the reliability of the assessment of the state of the object

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.313934

Keywords:

neuro-fuzzy expert systems, relational model, object model, swarm algorithms, hierarchy

Abstract

The object of the research is assessment of object with different degrees of embeddedness. The subject of the research is the process of assessing the state of objects using the apparatus of neuro-fuzzy expert systems, the apparatus of relational analysis and bio-inspired algorithms. The problem that is solved in the research is to increase the reliability of the assessment of the objects state, regardless of the number of attachments. The originality of the research is that:

– possibility of increasing the reliability of the object state assessment due to the parallel use of two bio-inspired algorithms;

– taking into account the degree of awareness of the object state, due to the application of correction coefficients for the degree of awareness;

– construction of both object and relational models, which allows to increase the reliability of assessment of the objects state;

– possibility of combining the results of the work of bio-inspired algorithms, which makes it possible to mutually verify the correctness of the work of each of the algorithms;

– universality of solving the task of assessing the state of objects with different degrees due to the hierarchical nature of their description;

– possibility of simultaneously searching for a solution in different directions;

– adequacy of the obtained results.

An example of the use of the proposed method is presented on the example of solving the task of determining the composition of an operational group of troops (forces) and elements of its operational construction. The specified example showed an increase in the reliability of the assessment of the objects state by an average of 20 % due to the use of additional improved procedures.

It is advisable to use the proposed method to solve the problems of assessing the state of multidimensional objects in conditions of uncertainty and risks, which are characterized by high requirements for the reliability of the information obtained

Author Biographies

Mohammed Jasim Abed Alkhafaji, Al-Taff University College

Assistant Lecturer

Department of Computer Technology Engineering

Nina Kuchuk, National Technical University “Kharkiv Polytechnic Institute”

Doctor of Technical Sciences, Professor

Department of Computer Engineering and Programming

Iraida Stanovska, Odesa National University "Odesa Polytechnic

Doctor of Technical Sciences, Professor

Department of Advanced Mathematics and Systems Modelling

Yurii Artabaiev, Yevhenii Bereznyak Military Academy

PhD, Senior Lecturer

Department of Information Technology

Olena Nechyporuk, National Aviation University

Doctor of Technical Sciences, Professor, Head of Department

Department of Intelligent Cybernetic Systems

Anastasiia Voznytsia, National Aviation University

PhD Student

Yevhenii Tupota, National Aviation University

Head of Laboratory

Department of Intelligent Cybernetic Systems

Yuliia Samoilenko, Scientific-Research Institute of Military Intelligence

Senior Researcher

Scientific-Research Department

Dmytro Nikitin, Kharkiv National University of Radio Electronics

PhD Student

Department of Software Engineering

Oleksandr Rybitskyi, Kharkiv National University of Radio Electronics

PhD Student

Department of Software Engineering

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The development of a method for increasing the reliability of the assessment of the state of the object

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Published

2024-10-30

How to Cite

Abed Alkhafaji, M. J., Kuchuk, N., Stanovska, I., Artabaiev, Y., Nechyporuk, O., Voznytsia, A., Tupota, Y., Samoilenko, Y., Nikitin, D., & Rybitskyi, O. (2024). The development of a method for increasing the reliability of the assessment of the state of the object. Eastern-European Journal of Enterprise Technologies, 5(3 (131), 48–54. https://doi.org/10.15587/1729-4061.2024.313934

Issue

Vol. 5 No. 3 (131) (2024): Control processes

Section

Control processes

License

Copyright (c) 2024 Mohammed Jasim Abed Alkhafaji, Nina Kuchuk, Iraida Stanovska, Yurii Artabaiev, Olena Nechyporuk, Anastasiia Voznytsia, Yevhenii Tupota, Yuliia Samoilenko, Dmytro Nikitin, Oleksandr Rybitskyi

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