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Development the information systems with fuzzy logic algorithms and network optimization

https://doi.org/10.31432/1994-2443-2023-18-2-33-47

Abstract

The article is devoted to the problems of construction information systems, consisting of typical parts. The first one is a system for collecting and analyzing geolocation data with fuzzy logic in disasters. The second one — a network to be optimized in terms of total traffic transmission capacity by increasing the power of network equipment with restrictions on their number.

About the Authors

A. V. Sinitsyn
International Center for Informatics and Electronics (ICIE); Federal State Budget Educational Institution of Higher Education «MIREA — Russian Technological University» (RTU MIREA)
Russian Federation

Sinitsyn Alexander VladimirovitchPh.D. (Math.), Head of Department; Docent of the Department of Information Processes and Systems

17-1, Presnensky Val, 123557, Moscow

86 Vernadsky Avenue, 119571, Moscow



N. Yu. Lisay
National Center «Kurchatov Institute» — Institute for System Research
Russian Federation

Lisay Nikolay Yurievitch, Cand. Sci. (Engineering Sciences), Deputy Director for International Projects

Ploshchad’ Akademika Kurchatova, 1, 123098, Moscow



S. A. Selivanov
International Center for Informatics and Electronics (ICIE); Federal State Budget Educational Institution of Higher Education «MIREA — Russian Technological University» (RTU MIREA)
Russian Federation

Selivanov Sergey Alexandrovich, Cand. Sci. (Engineering Sciences), Deputy Director for Information Technology; Docent of the Department of Information Processes and Systems

17-1, Presnensky Val, 123557, Moscow

86 Vernadsky Avenue, 119571, Moscow



A. A. Sinitsyn
International Center for Informatics and Electronics (ICIE); Lomonosov Moscow State University
Russian Federation

Sinitsyn Artemy Alexandrovitch, M.D. Science, engeneer-developer; postgraduate student

17-1, Presnensky Val, 123557, Moscow

1, Kolkogorov str., 119234, Moscow



References

1. Development of an algorithm for collecting and analyzing data with fuzzy logic for management decision support systems / Sinitsyn A.V., Lisay, A.A., Sinitsyn N.Yu., Buikin A.Yu. // Informatization and communication. - 2022. - No. 6. - P. 33-43. — DOI 10.34219/2078-8320-2022-13-6-33-43. — EDN UZZWIE.

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3. Genetic Algorithm Application for Optimal Distribution of Network Resources for Best QoS under Financial Constraints / Voronkov I.M., Sinitsyn A.V., Mukhamadiev V.I., Nazarov M.A. // 3rd International Science and Technology Conference “Modern Network Technologies 2020”, MoNeTec-2020 — Proceedings: 3, Moscow, October 27-29, 2020. — Moscow, 2020. — P. 9258168. — DOI 10.1109/MoNeTeC49726.2020.9258168. — EDN KCFDLS.

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5. The Ford-FULKERSON method and a genetic algorithm for optimal distribution of network resources under financial constraints / Voronkov I.M., Mukhamadiev V.I., Nazarov M.A., Sinitsyn A.V. // Informatization and Communication. — 2021. — No. 1. — pp. 7-14. — DOI 10.34219/2078-8320-2021-12-1-7-14. — EDN XCEPGW.

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14. URL: https://github.com/asinitsyn-info/Fuzzy-Disaster-Relief.git

15. URL: https://github.com/asinitsyn-info/QoSMatrix-GA-FFA

16. URL: https://abaridos.pythonany-where.com/


Review

For citations:


Sinitsyn A.V., Lisay N.Yu., Selivanov S.A., Sinitsyn A.A. Development the information systems with fuzzy logic algorithms and network optimization. Information and Innovations. 2023;18(2):33-47. https://doi.org/10.31432/1994-2443-2023-18-2-33-47

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ISSN 1994-2443 (Print)
ISSN 2949-2157 (Online)