Development of a method for training artificial neural networks for intelligent decision support systems
Qasim Abbood Mahdi, Andrii Shyshatskyi, Oleksandr Symonenko, Nadiia Protas, Oleksandr Trotsko, Volodymyr Kyvliuk, Artem Shulhin, Petro Steshenko, Eduard Ostapchuk, Tetiana Holenkovska We developed a method of training artificial neural networks for intelligent decision support systems. A distinctive feature of the proposed method consists in training not only the synaptic weights of an artificial neural network, […]
Development of object state estimation method in intelligent decision support systems
Vitalii Bezuhlyi, Volodymyr Oliynyk, Іgor Romanenko, Oleksandr Zhuk, Vasyl Kuzavkov, Oleh Borysov, Serhii Korobchenko, Eduard Ostapchuk, Taras Davydenko, Andrii Shyshatskyi A method of object state estimation in intelligent decision support systems (DSS) has been developed. The essence of the method is to ensure a high-quality analysis of the current state of the analyzed object. The […]
Analysis of the implementation of a multi-scenario decision support system in the treatment of lung cancer
Yevhen Artamonov, Viktoria Borisevich, Iurii Golovach The object of the research is the decision support system in the treatment of lung cancer, the subject of the research – the use of a multi-scenario interface in the construction of decision support systems. One of the problem areas in software development is the need for multi-criteria adaptation […]
Improvement of the method of estimation and forecasting of the state of the monitoring object in intelligent decision support systems
Areej Adnan Abed, Iurii Repilo, Ruslan Zhyvotovskyi, Andrii Shyshatskyi, Spartak Hohoniants, Serhii Kravchenko, Iryna Zhyvylo, Mykola Dieniezhkin, Nadiia Protas, Oleksandr Shcheptsov In order to objectively and completely analyze the state of the monitored object with the required level of efficiency, the method for estimating and forecasting the state of the monitored object in intelligent decision […]
The models of anthropogenic emergencies for decision support systems
Vadim Yakovenko, Yuliia Ulianovska, Tetiana Yakovenko This paper addresses the issues related to controlling and preventing anthropogenic emergencies. The early detection of critical conditions, the accuracy, and reliability of monitoring system parameters is the key to the prevention of anthropogenic catastrophes of different levels. A model of the emergency as a fuzzy situation has been […]
Development of a complex method for finding a solution for neuro-fuzzy expert systems
Oleg Sova, Andrii Shyshatskyi, Dmytro Malitskyi, Oleksandr Zhuk, Oleksandr Gaman, Valerii Hordiichuk, Vitalii Fedoriienko, Andrii Kokoiko, Vitalii Shevchuk, Mykhailo Sova Artificial intelligence has become the backbone of modern decision support systems. This is why a complex method for finding solutions for neuro-fuzzy expert systems has been developed. The proposed complex method is based on a […]
Development of estimation and forecasting method in intelligent decision support systems
Qasim Abbood Mahdi, Andrii Shyshatskyi, Yevgen Prokopenko, Tetiana Ivakhnenko, Dmytro Kupriyenko, Vira Golian, Roman Lazuta, Serhii Kravchenko, Nadiia Protas, Alexander Momit The method of estimation and forecasting in intelligent decision support systems was developed. The essence of the method is the analysis of the current state of the object and short-term forecasting of the object […]
Improving the navigational preparation of a bridge crew for entering/leaving a port, including activities in case of emergency
Anatoliy Maltsev, Ihor Surinov Statistical analysis of the causes of ship accidents showed that 10 % of accidents are due to the influence of irresistible force, about 15 % are the result of technical imperfection and sudden failure of ship equipment, and the remaining 75 % account for the «human factor» regardless of the cause […]
Mathematical modeling and analysis of the development of territorial communities
Roman Bihun, Vasyl Lytvyn, Nazar Oleksiv This article examines the problems of the development of united territorial communities, in particular, unemployment and economic problems. The object of the research is the improvement of territorial communities on the example of the Lviv region (Ukraine). One of the most problematic areas is the fact that communities, in […]
Development of estimation and forecasting method in intelligent decision support systems
Іgor Romanenko, Andrii Golovanov, Vitalii Khoma, Andrii Shyshatskyi, Yevhen Demchenko, Lyubov Shabanova-Kushnarenko , Tetiana Ivakhnenko, Oleksandr Prokopenko, Oleh Havaliukh, Dmitrо Stupak The method of estimation and forecasting in intelligent decision support systems is developed. The essence of the proposed method is the ability to analyze the current state of the object under analysis and the […]