Authors
Olena Havrylenko, Kostiantyn Dergachov, Vladimir Pavlikov, Simeon Zhyla, Oleksandr Shmatko, Nikolay Ruzhentsev, Anatoliy Popov, Valerii Volosyuk, Eduard Tserne, Maksym Zaliskyi, Oleksandr Solomentsev, Ivan Ostroumov, Olha Sushchenko, Yuliya Averyanova, Nataliia Kuzmenko, Tatyana Nikitina, Borys Kuznetsov
Publication date
2022/7/2
Book
Data Science and Security: Proceedings of IDSCS 2022
Pages
295-304
Publisher
Springer Nature Singapore
Description
Decision support systems (DSS) are still of great use in the different domains of automatization, where artificial intelligence methods have no proper information base for learning or require a big efforts. Among them choosing of a training trajectory in the Intelligent Tutoring Systems, choosing of a plan of repairing or scientific research works in the high schools may be considered as the major. The subject of the paper is a modern information technology for DSS in the case of multi-criterial choice combined advantages of the methods based on the pairwise comparison with the simplicity of the methods based on the reducing several criteria to one. The methods utilized in the research are system analysis, sets theory, graphs theory and multi-criteria choice. The model based on the ELECTRE (Elimination Choix Traduisant la Relite—exception and choice reflecting reality) method was improved by using graphical …
Total citations
202220232024154310
Scholar articles
O Havrylenko, K Dergachov, V Pavlikov, S Zhyla… - Data Science and Security: Proceedings of IDSCS …, 2022