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POSITION
Dr. Sci., Prof. of Department of System Analysis and Decision Making Theory
WORK EXPERIENCE
2015 and up to now – Professor, System Analysis and Decision Making Theory, Cybernetics Faculty, Taras Shevchenko National University of Kyiv
1989-2015 – Associate Professor, System Analysis and Decision Making Theory, Cybernetics Faculty, Taras Shevchenko National University of Kyiv
EDUCATION:
Doctor of Phys.-Math. Sciences in System Analysis and Optimal Solutions Theory (Thesis: "Methods of analysis of fuzzy multidimensional dynamical systems"), Institute of Aerospace Research, Ukrainian National Academy of Science, Kyiv (2012)
Ph.D. degree in Mathematical Cybernetics (Thesis: "The development of optimal system Lyapunov functions and its application in evaluating of quality characteristics of complex systems"), Kyiv Taras Shevchenko State University. (1986)
1982-1986 - Post-Graduate Student, Cybernetics Faculty, Kyiv Taras Shevchenko State University
1977-1982
– Student of Cybernetics Faculty,
Kyiv Taras Shevchenko State University
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Hybrid Models of Analysis, Optimization and Simulation Problems, Systems with Fuzzy Parameters
Research Fields:
Computer Science
Mathematics
Previous and Current Research
Development of new mathematical methods of system analysis and the theory of optimal solutions and its applications, 2016-2019
Problems of decision making and system analysis of stochastic networks, 2011-2015
Problems of decision making and its application at system analysis of socio-economic and ecological processes, 2006-2010
Future Projects and Goals
Development of new models of optimization problems such as distribution of limited resource, scheduling theory, logistics, classification, etc. Use the hybrid models for simulation in optimal control problems. Research the systems with fuzzy parameters. Apply the results for solving modern social, information and communication problems.
Methodological and Technical Expertise
Development
of new models of optimization problems such
as distribution of limited resource, scheduling theory, logistics, classification,
etc. Use the hybrid models for simulation in optimal control problems. Research the systems with fuzzy parameters. Apply the results for solving modern
social, information and communication problems.
Selected Publications
Oletsky, O.V., and Ivohin, E.V. (2021)
Formalizing the Procedure for the Formation of a Dynamic Equilibrium of Alternatives in a Multi-Agent Environment in Decision-Making by Majority of Votes, Cybernetics and Systems Analysis, 57(1), 47–56.
Ivokhin, E.V., Adzhubey, L.T., and Gavrylenko, E.V. (2019)
On the formalization of dynamics in information processes on the basis of lnhomogeneous one-dimensional diffusion models,
Journal of Automation and Information Sciences, 51(2), 22–29.
Ivohin, E., and Apanasenko D. (2018)
Clustering of composite fuzzy numbers aggregate based on sets of scalar and vector levels,
Problems of Control and Informatics, 5, 136-147.
Ivohin, E., and Naumenko Yu. (2018)
On the formalization of information dissemination processes based on hybrid diffusion models,
Problems of Control and Informatics, 4, 121–128.
Ivohin, E., and Makhno, M. (2017)
On the approach to building structured fuzzy sets and their use for description of the fuzzy time schedule
Journal of Automation and Information Sciences, 3, 57-61.
Ivohin, E., and Vadnyov, D. (2015)
Some properties and estimates for the sequence of prime numbers
Problems of Control and Informatics, 6, 105-118.
Ivohin, E., and Barraq A.S.K., O. (2014)
On the approaches to the solution of the transportation problem with fuzzy resource
Problems of Control and Informatics, 5, 47–62.
Ivohin, E. (2013)
On application of special sets of prime numbers to determine the membership measure of fuzzy sets
Journal of Comp. and Applied Math. 4, 87-94.
Contacts
Professor of Department of System Analysis and Decision Making Theory.
E-mail: ivohin@univ.kiev.ua
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