Abstract
Research of innovation has recently come into spotlight. Innovative development involves not only cutting-edge R&D but also effective cooperation of those involved in the process, defining the priorities and tools to be used under the innovation policy, evaluating the performance of innovation. In this context, this research seeks to expand the capabilities of MATLAB-based mathematical modeling when used for assessing the innovation actors. Interim results of the study can be used to make projections for managerial decision making.
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References
Big encyclopedia of oil and gas. https://www.ngpedia.ru/index.html
Zvyagin, L.S.: Actual economic and mathematical methods for the study of modern economic processes. Issues Econ. Manage. 2, 1ā6 (2015)
Dictionary of economic terms. https://www.economicportal.ru/term-words/word-ea1.html#ea29
Nikonov, O.I.: Mathematical Modeling and Decision-Making Methods: Textbook, vol. 100. Publishing House Ural. University, Yekaterinburg (2015)
Tychinsky, A.V.: Management of Innovative Activities of Companies: Modern Approaches, Algorithms, Experience, 188 p. TRTU, Taganrog (2006)
Egorov, A.I.: Fundamentals of Control Theory, 504 p. M.: FIZMATLIT (2004)
Shtovba, S.D.: Design of Fuzzy Systems by Means. MATLAB, M.: Hot line - Tele-com (2007)
Azimov, E.G., Shchukin, A.N.: A New Dictionary of Methodological Terms and Concepts (Theory and Practice of Teaching Languages). Printed edition M.: IKAR Publishing House (2009)
Novikov, A.M., Novikov, D.A.: Methodology, 668 p. M. SIN-TEG (2002)
Novikov, D.A., Chkhartishvili, A.G.: Active forecast. M. IPU RAS (2002)
Lucas, V.A.: Theory of Control of Technical Systems: Textbook. Manual for universities, 4th ed., revised, 677 p. Publishing House of the Ural State Mining University, Yekaterinburg (2005)
Miroshnik, I.V., Nikiforov, V.O., Fradkov, A.L.: Non-linear and Adaptive Control of Complex Dynamic Systems, 549 p. Nauka, St. Petersburg (2000)
Panteleev, A.V.: Management Theory in Examples and Tasks: Textbook, 583 p. Allowance. M. Higher. School (2003)
Fomin, V.N., Fradkov, A.L., Yakubovich, V.A.: Adaptive Management of Dynamic Objects, 448 p. M.: Science. The main edition of the physical and mathematical literature (1981)
Emelyanov, S.G., Titov, B.C., Bobyr, M.V.: Intelligent Systems Based on Fuzzy Logic and Soft Arithmetic Operations, 341 p. Tutorial, M.: Argamak-Media (2014)
Dykhta, V.A.: Dynamic Systems in Economics. Introduction to the Analysis of One-Dimensional Models, 178 p. Tutorial. Publishing House of BSUEP, Irkutsk (2003)
Baldin, K.V.: Risk Management in the Innovation and Investment Activity of the Enterprise: Textbook, 2nd ed., 420 p. M.: Publishing and trading corporation āDashkov and Co.ā (2012)
Gorky, M.A., Gorky, A.I.: Intelligent Systems in the Management of Technical and Organizational-Technological Processes: Textbook, Allowance, 117 p. FSBEI HE āKnAGTUā, Komsomolsk-on-Amur (2016)
Solovev, D.B., Kuzora, S.S., Merkusheva, A.E.: A mathematical model for evaluating the effectiveness of an innovative hubā. Econ. Manage.: Prob. Solutions 1(3), 3ā10 (2018)
Solovev, D.B., Kuzora, S.S., Merkusheva, A.E.: The use of fuzzy inference algorithms for preliminary assessment of participants in a cluster approach. Innovations 5 (2018)
Solovev, D.B., Kuzora, S.S.: The use of mathematical modeling in innovation. Creat. Econ. 13(4), 701ā712 (2019). https://doi.org/10.18334/ce.13.4.40529
Solovev, D.B., Kuzora, S.S.: Fuzzy modeling of cluster element assessment. Bulletin of the Nizhny Novgorod University named after N.I. Lobachevsky. Series: Soc. Sci. 2(54):23ā28 (2019)
Solovev, D.B., Kuzora, S.S.: Methods for evaluating innovation by means of flexible algorithms. Innovations 6(248), 78ā87 (2019)
Solovev, D.B., Kuzora, S.S.: MATLAB for simulation-based innovation performance assessment. In: 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, Russia, 1ā3 (2019)
Global Innovation Index. https://www.wipo.int/pressroom/ru/articles/2017/article_0006.html
Bloomberg Innovation Index. https://www.bloomberg.com/graphics/2015-innovative-countries/
Abdrakhmanova, G.I., Bakhtin, P.D., Gokhberg L.M. and others: Rating of innovative development of the constituent entities of the Russian Federation. Issue 5, under the editorship of L.M. Gokhberg; Nat researched University āHigher School of Economicsā, M.: HSE, 260 (2017). ISBN 978-5-7598-1591-4
Newspaper.Ru. https://www.gazeta.ru/business/2019/08/09/12567697.shtml?updated
RBC. https://quote.rbc.ru/news/forecast_idea/5d3ed6c39a7947851546b93b
Leonenkov, A.V.: Fuzzy modeling in MATLAB and fuzzyTECH. SPb.: BHV-Petersburg (2005)
Dyakonov, V.P.: āVisSim + Mathcad + MATLABā, Visual Mathematical Modeling, 384 p. M.: SOLON-Press (2010)
Official MATLAB page. Available: www.mathworks.com/
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Solovev, D.B., Kuzora, S.S., Terziev, V. (2021). Simulation-Based Methodical Approach to Applying Managerial Decisions in Innovation. In: Solovev, D.B., Savaley, V.V., Bekker, A.T., Petukhov, V.I. (eds) Proceeding of the International Science and Technology Conference "FarEastŠ”on 2020". Smart Innovation, Systems and Technologies, vol 227. Springer, Singapore. https://doi.org/10.1007/978-981-16-0953-4_1
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