Method of structural functional-value modeling of a complex system with a mixed combination of subsystems

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dc.citation.epage227
dc.citation.issue2
dc.citation.spage215
dc.contributor.affiliationВоєнно-дипломатична академія імені Євгенія Березняка
dc.contributor.affiliationДержавний університет телекомунікацій
dc.contributor.affiliationНаціональний авіаційний університет
dc.contributor.affiliationMilitary-Diplomatic Academy named after Eugene Bereznyak
dc.contributor.affiliationState University of Telecommunications
dc.contributor.affiliationNational aviation university
dc.contributor.authorКоробчинський, М.
dc.contributor.authorСлонов, М.
dc.contributor.authorМарилів, О.
dc.contributor.authorЛисенко, С.
dc.contributor.authorЛегомінова, С.
dc.contributor.authorЛитвинська, С.
dc.contributor.authorKorobchynskyi, M.
dc.contributor.authorSlonov, M.
dc.contributor.authorMaryliv, O.
dc.contributor.authorLysenko, S.
dc.contributor.authorLehominova, S.
dc.contributor.authorLytvynska, S.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-10-24T07:21:55Z
dc.date.available2023-10-24T07:21:55Z
dc.date.created2021-03-01
dc.date.issued2021-03-01
dc.description.abstractЗапропонований удосконалений метод функціонально-вартісного аналізу складної системи зі змішаним сполученням підсистем при аналітичній апроксимації залежності їх вартості від рівня функціональної досконалості. Мінімізацію вартості складної системи за умовою виконання нею свого функціонального призначення на заданому рівні запропоновано проводити методом множників Лагранжа. Застосування розробленого методу дозволяє перевірити можливість виконання системою моніторингу своїх функціональних завдань із заданим рівнем досконалості. Даний метод адаптований до застосування для різних рівнів апріорної невизначеності вихідних даних та може бути корисним на всіх етапах існування складної системи: розробки, експлуатації та утилізації. Крім того, він може бути використаним для дослідження слабоформалізованих та неформалізованих складних систем.
dc.description.abstractThe improved method of structural functional-value analysis of a complex system with a mixed combination of subsystems in an analytical approximation of the value dependences on the level of functional suitability is proposed. The minimization of the value of a complex system under the condition it fulfills its functional purpose at a given level is proposed to be implemented by the method of Lagrange multipliers. The application of the developed method allows checking the possibility of the monitoring system to perform its functional tasks with a given level of perfection as well as the identification of the opportunities for structural and parametric simplification of the system. This method is adapted for use at different levels of a priori uncertainty of the input data and can be useful at all stages of a complex system existence: development, operation, and disposal. In addition, it can be used to study low formalized and informalized complex systems.
dc.format.extent215-227
dc.format.pages13
dc.identifier.citationMethod of structural functional-value modeling of a complex system with a mixed combination of subsystems / M. Korobchynskyi, M. Slonov, O. Maryliv, S. Lysenko, S. Lehominova, S. Lytvynska // Mathematical Modeling and Computing. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 8. — No 2. — P. 215–227.
dc.identifier.citationenMethod of structural functional-value modeling of a complex system with a mixed combination of subsystems / M. Korobchynskyi, M. Slonov, O. Maryliv, S. Lysenko, S. Lehominova, S. Lytvynska // Mathematical Modeling and Computing. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 8. — No 2. — P. 215–227.
dc.identifier.doidoi.org/10.23939/mmc2021.02.215
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/60395
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofMathematical Modeling and Computing, 2 (8), 2021
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dc.relation.references[10] Babichev S., Osypenko V., Lytvynenko V., Voronenko M., Korobchynskyi M. Comparison analysis of biclustering algorithms with the use of artificial data and gene expression profiles. Eastern-European Journal of Enterprise Technologies. 91, 19–32 (2018).
dc.relation.references[11] Elrehim M., Eid M., Sayed M. Structural optimization of concrete arch bridges using Genetic Algorithms. Ain Shams Engineering Journal. 10 (3), 507–516 (2019).
dc.relation.references[12] Leachtenauer J. Resolution requirements and the johnson criteria revisited. Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIV. 5076, 1–15 (2003).
dc.relation.references[13] Korobchynskyi M., Slonov M., Mariliv A., Mieshkov S. Method for determining the rational time intervals for detecting objects by thermal imager. 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). 494–497 (2018).
dc.relation.references[14] Slonov M. Functional-Cost Approach to Structural Improvement of Complex System: Educational Process. Notes of V.I. Vernadsky Taurida National University. 69, 124–128 (2019).
dc.relation.references[15] Korobchynskyi M., Slonov M., Rudenko M., Maryliv O. Method of structural functional-value modeling of a complex hierarchic system. Shpringer, Advances in Intelligent Systems and Computing. 213–231 (2021).
dc.relation.references[16] Bertsekas D. Constrained Optimization and Lagrange Multiplier Methods. Athena, Athena Scientific (1982).
dc.relation.referencesen[1] Good H., Machol R. System Engineering. An introduction to the design of large-scale systems. McGrawHill Book Company, New York (1957).
dc.relation.referencesen[2] Glushkov V. Introduction to cybernetics. USSR Academy of Sciences, Kyiv (1964), (in Russian).
dc.relation.referencesen[3] Jaehyun L., Jinko K., Woong K. Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method. Applied Sciences. 9 (6), 1231 (2018).
dc.relation.referencesen[4] Senyel M. A., Guldmann J.-M. Joint Values in Electricity and Natural Gas Distribution Infrastructures: The Role of Urban Factors. Urban Science. 2 (2), 35 (2018).
dc.relation.referencesen[5] Beavers D., Stamey J. Bayesian sample size determination for value-effectiveness studies with censored data. PLoS ONE. 13 (1), e0190422 (2018).
dc.relation.referencesen[6] Ruyi L., Zhen W. Advances in Difference Equation. PLoS ONE. 1, 1–12 (2018).
dc.relation.referencesen[7] Sentz K., Ferson S. Combination of Evidence in Dempster-Shafer Theory. United States: N. p. (2002).
dc.relation.referencesen[8] Saaty T. The U.S.-OPEC energy conflict: the payoff matrix by the analytic hierarchy process. International Journal of Game Theory. 8, 225–234 (1979).
dc.relation.referencesen[9] Pelin A., Munteanu V., Pantea M., Gligor D. Methodological approaches in realizing and applying valuebenefit analysis for the investment projects. Annals of the University of Oradea. Economic Science. 2, 156–162 (2009).
dc.relation.referencesen[10] Babichev S., Osypenko V., Lytvynenko V., Voronenko M., Korobchynskyi M. Comparison analysis of biclustering algorithms with the use of artificial data and gene expression profiles. Eastern-European Journal of Enterprise Technologies. 91, 19–32 (2018).
dc.relation.referencesen[11] Elrehim M., Eid M., Sayed M. Structural optimization of concrete arch bridges using Genetic Algorithms. Ain Shams Engineering Journal. 10 (3), 507–516 (2019).
dc.relation.referencesen[12] Leachtenauer J. Resolution requirements and the johnson criteria revisited. Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIV. 5076, 1–15 (2003).
dc.relation.referencesen[13] Korobchynskyi M., Slonov M., Mariliv A., Mieshkov S. Method for determining the rational time intervals for detecting objects by thermal imager. 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). 494–497 (2018).
dc.relation.referencesen[14] Slonov M. Functional-Cost Approach to Structural Improvement of Complex System: Educational Process. Notes of V.I. Vernadsky Taurida National University. 69, 124–128 (2019).
dc.relation.referencesen[15] Korobchynskyi M., Slonov M., Rudenko M., Maryliv O. Method of structural functional-value modeling of a complex hierarchic system. Shpringer, Advances in Intelligent Systems and Computing. 213–231 (2021).
dc.relation.referencesen[16] Bertsekas D. Constrained Optimization and Lagrange Multiplier Methods. Athena, Athena Scientific (1982).
dc.rights.holder© Національний університет “Львівська політехніка”, 2021
dc.subjectскладні системи
dc.subjectдосконалість складної системи
dc.subjectапроксимуючі функції
dc.subjectcomplex systems
dc.subjectperfection of a complex system
dc.subjectapproximating functions
dc.titleMethod of structural functional-value modeling of a complex system with a mixed combination of subsystems
dc.title.alternativeМетод функціонально-вартісного моделювання складних систем зі змішаним сполученням підсистем
dc.typeArticle

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Mathematical Modeling And Computing. – 2021. – Vol. 8, No. 2