Oksana Porubay

@tuit.uz

Information Technology/Computer Engineering
ashkent University of Information Technologies named after Muhammad al-Khwarizmi

Oksana Porubay


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https://researchid.co/porubay

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary
19

Scopus Publications

394

Scholar Citations

12

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Integration of Neutrosophic Methods into Adaptive Control of Nonlinear Systems Using Neuro-Fuzzy Networks With B-Spline Functions
    Oksana Porubay, Dilnoza Umurzakova
    Iium Engineering Journal, 2026
    This paper addresses the problem of adaptive control of nonlinear dynamic systems operating under parametric uncertainty, external disturbances, and partial or contradictory information about the system state – conditions under which classical linear Model Reference Adaptive Control (MRAC) and conventional neuro-fuzzy controllers exhibit degraded performance, slow adaptation, and oscillatory behavior. To overcome these limitations, a novel Neuro-Neutrosophic Model Reference Adaptive Controller (NN-MRAC) is proposed, implemented using a neutrosophic neuro-fuzzy network with B-spline basis functions. The key innovation of the proposed approach lies in integrating neutrosophic logic into the adaptive control architecture by explicitly using a three-component uncertainty representation – truth, indeterminacy, and falsity – which enables robust control synthesis in the presence of incomplete, noisy, and conflicting data. In contrast to traditional neuro-fuzzy controllers, the proposed NN-MRAC combines localized B-spline approximation with neutrosophic weighting of local models and an adaptive decomposition into lower-dimensional submodels, effectively mitigating the curse of dimensionality and reducing computational complexity. Comparative simulation studies with a classical linear MRAC demonstrate that the proposed controller reduces the mean-square tracking error by approximately 59%, decreases overshoot by more than 3 times, shortens the transient response time by nearly 1.8 times, and lowers control energy consumption by about 18%. The results confirm that the proposed neuro-neutrosophic MRAC ensures stable, smooth, and energy-efficient control in the presence of noise and deep uncertainty, making it a promising solution for intelligent control of complex nonlinear systems. ABSTRAK: Kajian ini mencadangkan masalah kawalan adaptif bagi sistem dinamik bukan linear yang beroperasi pada ketidakpastian parameter, gangguan luaran, serta maklumat separa atau bercanggah mengenai keadaan sistem, di mana kaedah linear klasik Model Kawalan Suai Rujukan (MRAC) dan kawalan konvensional neural-fuzi menunjukkan prestasi terhad, kadar penyesuaian perlahan, dan tingkah laku berayun. Bagi mengatasi kekangan ini, satu Model Kawalan Suai Rujukan Neuro-Neutrosofik (NN-MRAC) yang baharu dicadangkan, dilaksanakan berasaskan rangkaian neural-fuzi neutrosofik dengan fungsi asas alur-B. Inovasi utama pendekatan ini terletak pada pengintegrasian logik neutrosofik ke dalam seni bina kawalan suai melalui penggunaan perwakilan terkecuali pada tiga komponen ketidakpastian – kebenaran, ketidakpastian, dan kepalsuan – membolehkan sintesis kawalan yang teguh dalam keadaan data tidak lengkap, bising, dan bercanggah. Berbeza dengan pengawal neural-fuzi tradisional, NN-MRAC yang dicadangkan menggabungkan penghampiran setempat berasaskan alur-B dengan pemberat neutrosofik bagi model setempat serta penguraian suai kepada submodel berdimensi rendah, sekaligus mengurangkan kerumitan pengiraan dan mengatasi masalah “kutukan dimensi”. Kajian simulasi perbandingan dengan MRAC linear klasik menunjukkan bahawa cadangan kawalan mencapai pengurangan ralat min kuasa dua (MSE) kira-kira 59%, penurunan lebihan (overshoot) lebih daripada tiga kali ganda, pemendekan masa tindak balas sementara hampir 1.8 kali, serta pengurangan penggunaan tenaga kawalan sekitar 18%. Keputusan ini mengesahkan bahawa MRAC neuro-neutrosofik yang dicadangkan mampu memastikan kawalan stabil, licin, dan cekap tenaga di bawah keadaan hingar dan ketidakpastian mendalam, menjadikannya satu penyelesaian berpotensi pada sistem kawalan pintar bukan linear yang kompleks.
  • Application of the Smart Grid Concept in the Tasks of Controlling the Operation Modes of Electric Power Systems
    Oksana Porubay, Isamiddin Siddikov
    Aip Conference Proceedings, 2026
  • Impact of Steady-State Error Minimization on the Performance of Numerical Optimization Techniques in Linear Automatic Control Systems
    Umurzakova D. M., Siddikov I.X., Porubay O.V., Abdullayev T.M.
    Journal of Robotics and Control Jrc, 2025
    This paper investigates the impact of steady-state error minimization on the performance of numerical optimization techniques in linear automatic control systems, introducing a novel framework that integrates advanced genetic algorithms and machine learning to enhance controller tuning It highlights the significance of selecting appropriate test signals to generate quality system responses, which directly affects stability and reliability. Various optimization techniques are discussed, including classical methods and modern algorithms such as genetic algorithms and machine learning. Special attention is given to astatic control, which minimizes static errors and enhances controller reliability. Experimental results reveal that optimizing for one signal type can significantly diminish performance for another type. The paper introduces trade-offs that facilitate simultaneous consideration of performance responses to various stimuli. The conclusions underscore the importance of carefully selecting test signals and provide recommendations for automatic control practitioners, ultimately leading to improved reliability and efficiency in systems under dynamic conditions.
  • Adaptive Heuristic Methods for Intelligent Decision Support in Electric Power Systems under Uncertainty
    Oksana Porubay, Mokhirakhon Khusanova, Shakhrizod Ganieva
    2025 International Conference on Information Science and Communications Technologies Icisct 2025, 2025
    This article examines the challenge of intelligent decision-making in electric power facilities under uncertainty, employing heuristic methods. The increasing complexity of energy systems, coupled with the need for real-time responses to abnormal conditions, requires advanced control techniques beyond classical optimization. The paper presents a structured approach based on heuristic search methods, including state space graphs and AND/OR goal trees, which enables the effective decomposition and prioritization of decision-making tasks. The method incorporates expert knowledge to assign weights and estimate the relevance of subgoals, making the process adaptive and semantically meaningful. The search algorithms are illustrated using a conditional scheme of power lines and are evaluated based on their search efficiency and the optimality of the results. It is shown that the use of heuristic evaluation functions significantly reduces the size of the search tree while maintaining optimal outcomes. The approach supports the development of intelligent decision support systems (DSS) for power facilities and is applicable in real-time control under uncertainty. The proposed models are aimed at increasing system reliability and operational stability. Future work will focus on integrating this approach with AI-based forecasting and big data analysis tools to enhance dynamic decision-making in energy systems.
  • A Set-Theoretic Approach to the Formalization of the Technological Preparation of Production Processes
    Oksana Porubay, Isamiddin Siddikov, Munira Sadikova
    2025 International Conference on Information Science and Communications Technologies Icisct 2025, 2025
    This paper addresses the issues of formalizing the processes of technological preparation in the textile industry using methods of set-theoretic analysis. The relevance of the study is determined by the need to improve the efficiency of managing information flows in the context of industrial digitalization. The proposed approach represents the mechanisms of data interaction as hierarchical hypergraphs, which makes it possible to identify interrelations between technological preparation components, minimize delays, and enhance the consistency of production stages. The developed formalized model serves as an analytical tool for optimizing information exchange between enterprise departments, improving productivity, product quality, and the integration level of digital processes. The results contribute to the development of sustainable and competitive digital production systems in the textile industry.
  • A Hierarchical Approach to Modeling and Controlling Complex Systems
    Oksana Porubay, Isamiddin Siddikov, Nilufar Abdulhamidova, Ozodbek Rakhmonov
    2025 International Conference on Information Science and Communications Technologies Icisct 2025, 2025
    The article discusses the task of constructing effective models for automated control of large complex systems, in particular, autonomous systems (AS). The main focus is on the problem of the impossibility of direct use of functional transformations due to the high dimensionality and uncertainty of the processes described. The paper proposes a hierarchical approach to modeling based on dividing the general ASIS model into a macro model of the process and a micro model of the system. The macro model describes the relationships between goals and operations at the level of the global trajectory of the system’s functioning, while the micro model reflects the interaction of individual modules and elements that implement these goals. Oriented multigraphs of goals and modular networks are introduced as elementary model structures, which allow for automatic model synthesis, take into account the factor of human participation in the control loop, and ensure adaptation to changing external conditions. The proposed approach provides the possibility of a multi-level approximation to optimal control actions, simplifies the solution of optimization problems, and opens up prospects for application in artificial intelligence and intelligent control systems.
  • Algorithmic Solutions for Intelligent Power System Management based on Neuro-Analytical Models
    Oksana Porubay, Nilufar Abdulhamidova, Madina Khasanova, Alisher Arabboyev
    2025 International Conference on Information Science and Communications Technologies Icisct 2025, 2025
    The article presents an analysis of the key parameters required for the development of mathematical models for controlling the operating modes of electric power systems using a neuro-analytical network. The paper reviews modern methods of managing and optimizing energy transmission, distribution, and consumption processes. It describes in detail the algorithmic solutions applied in the implementation of neuro-analytical networks within energy management systems. Furthermore, the authors assess the prospects for deploying Smart Grid technologies based on neuro-analytical approaches. The presented results can be applied in the development of intelligent control systems for energy network facilities.
  • Adaptive Nonlinear Control of Electric Power Facilities Using a Synergetic Approach
    Oksana Porubay, Isamiddin Siddikov, Gulchehra Alimova, Dilnoza Umurzakova, Темурбек Абдуллаев
    Journal of Robotics and Control Jrc, 2025
    This paper proposes a synergetic approach to the synthesis of adaptive nonlinear control systems for electric power facilities. The method introduces invariant manifolds (attractors) into the state space to align the natural dynamics of the plant with operational requirements. Traditional linear controllers often fail under varying operating modes and random disturbances, which reduces stability and control accuracy. The research contribution is the development of a nonlinear adaptive control framework that integrates the Analytical Design of Aggregated Regulators (ADAR), a nonlinear state observer for unmeasurable variables, and an integral adaptation mechanism for disturbance rejection. The approach is further adapted for discrete-time implementation, enabling deployment on digital controllers. To validate the method, simulations were performed on a TPE-214 steam generator model in MATLAB/Simulink. Results demonstrate asymptotic stability, fast transient response, and significant error reduction compared to PID and sliding mode control. Specifically, the settling time was reduced to under 50 s for drum water level and about 60 s for steam pressure, with deviations not exceeding ±2% and ±1.5%, respectively. Unlike PID, the proposed controller eliminates steady-state error and improves robustness under load variations. In conclusion, the synergetic approach ensures high stability, adaptability, and scalability for nonlinear energy systems, making it suitable for practical applications in modern power facilities and Smart Grid environments.
  • Fuzzy-set based Decision Model for Power System Control under Conditions of Data Uncertainty and Cyber-Information Risk
    Oksana Porubay, Zarina Ermatova, Kamolkhon Muminov, Dilyorakhon Irmatova, Nozimjon Saydirasulov, Xumora Goipova
    2025 International Conference on Information Science and Communications Technologies Icisct 2025, 2025
    Modern power systems function as cyberphysical infrastructures where decision-making relies on sensor data, telemetry, and automated control networks. However, the presence of technological uncertainty and cyberinformation risks, such as data distortion, intentional manipulation, or communication channel failures, reduces the reliability of classical deterministic control models. This paper proposes a fuzzy-set-based decision model for power system control under these conditions. An exponential membership function with an infinite domain is introduced to represent fuzzy states of the system, enabling a flexible description of gradual state transitions when data accuracy cannot be guaranteed. A fuzzy binary preference relation is constructed to evaluate and rank alternative control strategies, taking into account expert knowledge, multi-criteria requirements, and risk factors related to data integrity. The proposed approach enhances the resilience and adaptability of decision-making processes in electric power systems by incorporating both technical and cyber-informational uncertainty. A model experiment demonstrates the application of the method in selecting an optimal system state using fuzzy preference matrices.
  • Retraction: Optimization of operation modes of renewable energy facilities to provide energy for agriculture (E3S Web of Conferences (2024) 538 (01028) DOI: 10.1051/e3sconf/202453801028)
    Oksana Porubay, Marina Lazareva, Temurbek Abdullayev, Nurillo Mamadaliyev, Abdumalik Xoitqulov
    E3s Web of Conferences, 2024
    This paper considers the main modes of electricity consumption in the power system, taking into account their seasonal variability. The problem is solved using the methods of linear programming, product rules "IF, ... THEN, ..." and mathematical modelling for planning the modes of operation of electric power facilities. The study establishes that power consumers in certain regions of Uzbekistan, facing a shortage of electricity, can independently put into operation additional energy sources, such as wind power plants, solar photovoltaic stations and energy storage systems. A complete analysis of steady-state operation modes of the electric power system has been carried out. An algorithm for optimising the operation of electric power facilities based on the use of renewable and alternative energy sources has been created.
  • Retracted:Optimization of operation modes of renewable energy facilities to provide energy for agriculture
    Oksana Porubay, Marina Lazareva, Temurbek Abdullayev, Nurillo Mamadaliyev, Abdumalik Xoitqulov
    E3s Web of Conferences, 2024
  • Synthesis of a control system for a two-mass electromechanical object
    Oksana Porubay, Isamiddin Siddikov, Gulruxsor Nashvandova, Gulchexra Alimova
    Aip Conference Proceedings, 2024
  • Synthesis of the neuro-fuzzy regulator with genetic algorithm
    Isamiddin Siddikov, Oksana Porubay, Temurbek Rakhimov
    International Journal of Electrical and Computer Engineering, 2024
  • Algorithms for Optimization of Operation Modes of Electric Power Systems Under Conditions of Information Uncertainty
    Oksana Porubay, Isamiddin Siddikov
    Proceedings International Conference on Information Science and Communications Technologies Applications Trends and Opportunities Icisct 2024, 2024
  • Neuro-Fuzzy System for Regulating the Processes of Power Flows in Electric Power Facilities
    I. Kh. Siddikov, O. V. Porubay
    Aip Conference Proceedings, 2022
  • An algorithm for optimizing short-term modes of electric power systems, taking into account the conditions of the nature of the probability of the information flow of data
    I Siddikov, O Porubay, O Mirjalilov
    Journal of Physics Conference Series, 2022
  • Algorithm for optimizing the mode of electric power systems by active power
    Oksana Porubay, Isamiddin Siddikov, Khasanova Madina
    2022 International Conference on Information Science and Communications Technologies Icisct 2022, 2022
  • Neural network model of decision making in electric power facilities under conditions of uncertainty
    Isomiddin Siddikov, Oksana Porubay
    E3s Web of Conferences, 2021
  • Multiscale analysis of wavelet - Transformation, as a solution to the problem of compression of information flows
    Oksana Porubay
    2016 International Conference on Information Science and Communications Technologies Icisct 2016, 2016

RECENT SCHOLAR PUBLICATIONS

  • Integration of Neutrosophic Methods into Adaptive Control of Nonlinear Systems Using Neuro-Fuzzy Networks With B-Spline Functions
    O Porubay, D Umurzakova
    IIUM Engineering Journal 27 (2), 506-528 , 2026
    2026
  • Application of the smart grid concept in the tasks of controlling the operation modes of electric power systems
    O Porubay, I Siddikov
    AIP Conference Proceedings 3374 (1), 050043 , 2026
    2026
  • Intelligent control of energy system operating modes based on neuro-analytical and neutrosophic models under conditions of uncertainty
    O Porubay, I Siddikov, D Umurzakova
    Neutrosophic Sets & Systems 97 , 2026
    2026
    Citations: 1
  • СРАВНИТЕЛЬНЫЙ АНАЛИЗ ПРОИЗВОДИТЕЛЬНОСТИ WEBSOCKET И ПРОМЫШЛЕННЫХ ПРОТОКОЛОВ СВЯЗИ В СИСТЕМАХ ЦИФРОВЫХ ДВОЙНИКОВ РЕАЛЬНОГО ВРЕМЕНИ
    О Порубай
    Потомки Аль-Фаргани, 66-73 , 2026
    2026
  • TASHKILOT DARAJASIDA XAVFSIZLIK VA UZLUKSIZLIK MADANIYATINI SHAKLLANTIRISH
    N Saydirasulov, O Porubay, U Shuxratjon
    Global Science Review 14 (1), 261-267 , 2026
    2026
  • MACHINE LEARNING APPROACHES TO DETECT PHISHING AND SPAM MESSAGES (A CASE STUDY OF MBERT)
    N Saydirasulov, O Porubay, S Umarov
    Global Science Review 14 (1), 226-233 , 2026
    2026
    Citations: 1
  • Fuzzy-set based Decision Model for Power System Control Under Conditions of Data Uncertainty and Cyber-Information Risk
    O Porubay, Z Ermatova, K Muminov, D Irmatova, N Saydirasulov, ...
    2025 International Conference on Information Science and Communications … , 2025
    2025
  • A Set-Theoretic Approach to the Formalization of the Technological Preparation of Production Processes
    O Porubay, I Siddikov, M Sadikova
    2025 International Conference on Information Science and Communications … , 2025
    2025
  • Algorithmic Solutions for Intelligent Power System Management based on Neuro-Analytical Models
    O Porubay, N Abdulhamidova, M Khasanova, A Arabboyev
    2025 International Conference on Information Science and Communications … , 2025
    2025
  • Adaptive Heuristic Methods for Intelligent Decision Support in Electric Power Systems under Uncertainty
    O Porubay, M Khusanova, S Ganieva
    2025 International Conference on Information Science and Communications … , 2025
    2025
  • A Hierarchical Approach to Modeling and Controlling Complex Systems
    O Porubay, I Siddikov, N Abdulhamidova, O Rakhmonov
    2025 International Conference on Information Science and Communications … , 2025
    2025
  • Adaptive Nonlinear Control of Electric Power Facilities Using a Synergetic Approach
    O Porubay, I Siddikov, G Alimova, D Umurzakova, T Abdullaev
    Journal of Robotics and Control (JRC) 6 (5), 2380-2388 , 2025
    2025
    Citations: 9
  • Synthesis of nonlinear multilinked control systems of thermal power plants
    O Porubay, I Siddikov
    International Journal of Electrical and Computer Engineering (IJECE) 15 (5 … , 2025
    2025
  • Impact of Steady-State Error Minimization on the Performance of Numerical Optimization Techniques in Linear Automatic Control Systems
    DM Umurzakova, IX Siddikov, OV Porubay, TM Abdullayev
    Journal of Robotics and Control (JRC) 6 (6), 3028-3036 , 2025
    2025
  • ZAMONAVIY ELEKTR ENERGETIKA TIZIMLARINING ISHLASHINI BOSHQARISH VA OPTIMALLASHTIRISH MODELLARI
    OV Porubay, MM Turdimatov
    НАУЧНО-ТЕХНИЧЕСКИЙ ЖУРНАЛ ФерПИ 29 (2), 200-212 , 2025
    2025
  • ELEKTR ENERGETIKA OBYEKTLARIDA BOSHQARUV QARORLARINI QABUL QILISHNI INTELLEKTUALLASHTIRISH
    OV Porubay, MM Turdimatov
    Научный вестник Бухарского государственного университета, 193-198 , 2025
    2025
  • Эволюционный подход к созданию нейро-нечеткого регулятора с использованием генетического алгоритма
    ОВ Порубай
    Приборы, 24-30 , 2025
    2025
  • МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ ДИНАМИКИ ЭНЕРГЕТИЧЕСКОЙ СИСТЕМЫ С ПРИМЕНЕНИЕМ НЕЧЕТКИХ МЕТОДОВ: НОВЫЙ ПОДХОД К УПРАВЛЕНИЮ В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ
    ОВ Порубай
    International Journal of Formal Education 3 (12), 316-323 , 2024
    2024
  • Algorithms for optimization of operation modes of electric power systems under conditions of information uncertainty
    O Porubay, I Siddikov
    2024 International Conference on Information Science and Communications … , 2024
    2024
    Citations: 21
  • Оптимизация режимов работы объектов возобновляемой энергетики для обеспечения энергией сельского хозяйства
    ОВ Порубай, МВ Лазарева
    Потомки Аль-Фаргани, 13-23 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Decision-making under conditions of definition and risk based on strict methods
    OV Porubay
    Chemical Technology, Control and Management 11, 20-2020 , 2020
    2020
    Citations: 34
  • Synthesis of the neuro-fuzzy regulator with genetic algorithm.
    I Siddikov, O Porubay, T Rakhimov
    International Journal of Electrical & Computer Engineering (2088-8708) 14 (1) , 2024
    2024
    Citations: 30
  • Multiscale analysis of wavelet-transformation, as a solution to the problem of compression of information flows
    O Porubay
    2016 International Conference on Information Science and Communications … , 2016
    2016
    Citations: 30
  • Neural network model of decision making in electric power facilities under conditions of uncertainty
    I Siddikov, O Porubay
    E3S Web of Conferences 304, 01001 , 2021
    2021
    Citations: 28
  • An algorithm for optimizing short-term modes of electric power systems, taking into account the conditions of the nature of the probability of the information flow of data
    I Siddikov, O Porubay, O Mirjalilov
    Journal of Physics: Conference Series 2373 (8), 082014 , 2022
    2022
    Citations: 27
  • Neuro-fuzzy system for regulating the processes of power flows in electric power facilities
    IK Siddikov, OV Porubay
    AIP Conference Proceedings 2432 (1), 020010 , 2022
    2022
    Citations: 26
  • Algorithm for optimizing the mode of electric power systems by active power
    O Porubay, I Siddikov, K Madina
    2022 International Conference on Information Science and Communications … , 2022
    2022
    Citations: 25
  • Проблемы принятия управленческих решений на основе строгих методов
    ОВ Порубай
    Актуальные вопросы техники, науки, технологии, 423-427 , 2021
    2021
    Citations: 25
  • RETRACTED: Optimization of operation modes of renewable energy facilities to provide energy for agriculture
    O Porubay, M Lazareva, T Abdullayev, N Mamadaliyev, A Xoitqulov
    E3S Web of Conferences 538, 01028 , 2024
    2024
    Citations: 23
  • Algorithms for optimization of operation modes of electric power systems under conditions of information uncertainty
    O Porubay, I Siddikov
    2024 International Conference on Information Science and Communications … , 2024
    2024
    Citations: 21
  • Synthesis of a control system for a two-mass electromechanical object
    O Porubay, I Siddikov, G Nashvandova, G Alimova
    AIP Conference Proceedings 3045 (1), 030080 , 2024
    2024
    Citations: 20
  • Альтернативные технологии, меняющие будущее возобновляемой энергетики
    ОВ Порубай
    Journal of new century innovations 11 (1), 160-168 , 2022
    2022
    Citations: 20
  • Trends in the development of intelligent systems when making management decisions in Uzbekistan
    SI Kh, OV Porubay, MV Lazareva, AA Abdulkhamidov
    International scientific journal" Universum: technical sciences 2 (71), 10-14 , 2020
    2020
    Citations: 12
  • Тенденции развития интеллектуальных систем при принятии управленческих решений в Узбекистане
    ИХ Сиддиков, ОВ Порубай, МВ Лазарева, ААУ Абдулхамидов
    Universum: технические науки, 10-13 , 2020
    2020
    Citations: 10
  • Adaptive Nonlinear Control of Electric Power Facilities Using a Synergetic Approach
    O Porubay, I Siddikov, G Alimova, D Umurzakova, T Abdullaev
    Journal of Robotics and Control (JRC) 6 (5), 2380-2388 , 2025
    2025
    Citations: 9
  • Принятие решений в условиях определенности и риска на основе строгих методов
    ИХ Сиддиков, ОВ Порубай
    Современные тенденции развития фундаментальных и прикладных наук, 208-214 , 2021
    2021
    Citations: 7
  • Formation of new technologies for innovation management in the modern competitive environment
    O Porubay, M Khasanova
    Engineering problems and innovations , 2023
    2023
    Citations: 5
  • СИСТЕМЫ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ С ИНТЕЛЛЕКТУАЛЬНЫМИ МЕХАНИЗМАМИ ПОИСКА ДЛЯ ОПЕРАТИВНОДИСПЕТЧЕРСКОГО УПРАВЛЕНИЯ В ЭЛЕКТРОЭНЕРГЕТИКЕ
    ОВ Порубай
    Издательство Самарского научного центра РАН , 2021
    2021
    Citations: 5
  • Проблемы принятия решений в условиях определенности и риска на основе строгих методов
    ОВ Порубай, АР Амиров
    Universum: технические науки, 32-33 , 2021
    2021
    Citations: 4
  • Нейросетевая модель принятия решений в электроэнергетических объектах в условиях неопределенности
    ИХ Сиддиков, ОВ Порубай
    STJ FerPI, ФарПИ ИТЖ, НТЖ ФерПИ 27, 98-105 , 2023
    2023
    Citations: 3