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Yuriy Kondratenko

Yuriy Kondratenko Mail
Petro Mohyla Black Sea National University, Ukraine

Doctor of Technical Sciences, Professor

Department of IIS

 

Scopus profile: link

ID ORCID: https://orcid.org/0000-0001-7736-883X

 

 Selected Publications:

1. Kondratenko, Y. P., Simon, D. (2018). Structural and Parametric Optimization of Fuzzy Control and Decision Making Systems. Studies in Fuzziness and Soft Computing. Cham: Springer, 273–289. doi: http://doi.org/10.1007/978-3-319-75408-6_22 

2. Kondratenko, Y. P., Kondratenko, N. Y. (2018). Synthesis of Analytic Models for Subtraction of Fuzzy Numbers with Various Membership Function’s Shapes // Advances in Intelligent Systems and Computing. Cham: Springer, 87–100. doi: http://doi.org/10.1007/978-3-319-75792-6_8 

3. Kondratenko, Y., Kozlov, O., Korobko, O., Topalov, A. (2018). Complex Industrial Systems Automation Based on the Internet of Things Implementation. Communications in Computer and Information Science. Cham: Springer, 164–187. doi: http://doi.org/10.1007/978-3-319-76168-8_8 

4. Werners, B., Kondratenko, Y. (2017). Alternative Fuzzy Approaches for Efficiently Solving the Capacitated Vehicle Routing Problem in Conditions of Uncertain Demands. Studies in Systems, Decision and Control. Cham: Springer, 521–543. doi: http://doi.org/10.1007/978-3-319-69989-9_31 

5. Kondratenko, Y. P., Kozlov, O. V., Kondratenko, G. V., Atamanyuk, I. P. (2017). Mathematical Model and Parametrical Identification of Ecopyrogenesis Plant Based on Soft Computing Techniques. Studies in Systems, Decision and Control. Cham: Springer, 201–233. doi: http://doi.org/10.1007/978-3-319-69989-9_13 

6. Shebanin V. S., Kondratenko Y. P., Atamanyuk I. P. (2018). The Method of Optimal Nonlinear Extrapolation of Vector Random Sequences on the Basis of Polynomial Degree Canonical Expansion. Advances in Intelligent Systems and Computing. Cham: Springer, 14–25. doi: https://doi.org/10.1007/978-3-319-75792-6_2 

7. Kondratenko, Y. P., Kondratenko, G. V., Sidenko, I. V. (2018). Knowledge-Based Decision Support System with Reconfiguration of Fuzzy Rule Base for Model-Oriented Academic-Industry Interaction. Advances in Intelligent Systems and Computing. Cham: Springer, 101–112. doi: http://doi.org/10.1007/978-3-319-75792-6_9