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Decision Support Model for Assessing Projects by a Group of Investors with Regards of Multi-factors

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Artificial Intelligence and Bioinspired Computational Methods (CSOC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1225))

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Abstract

In today’s globalized economy, the problems connected with the choice of a rational strategy of investing in advanced information technologies, is still relevant. In order to increase the reliability of solutions in the process of analysis and selection of sound financial strategies for the investor or group of investors (or other decision-makers (DM)) can intellectualized decision support systems. The solution to this problem has its own specific features in each subject area. For example, for tasks related to the assessment of investment projects in the field of enterprises’ digitalization, cyber security or Smart City development. A similar problem in the process of decision needs to take into account many factors. This can be done, in particular, with the use of the games theory mathematical apparatus. The development of algorithmic and software component of such expert systems and decision support systems made it necessary to continue the development of models that are based on the quality of bilinear differential game with multiple terminal faces. During the study we considered a new class of bilinear differential game. The article describes a model for the case of the interaction of objects groups in multidimensional space. This approach has enabled to describe adequately the process of finding rational strategies of groups of players (investors). The proposed model was tested in the simulation environment MatLab. The software product being developed will reduce the discrepancies in the data of forecast estimates for investment projects, as well as optimize the choice of strategies for groups of investors.

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Author information

Authors and Affiliations

  1. Department of Computer Systems and Networks, National University of Life and Environmental Sciences of Ukraine, Kiev, Ukraine

    Valeriy Lakhno & Volodymyr Malyukov

  2. Department of Computer Systems, Yessenov University, Aktau, Kazakhstan

    Berik Akhmetov

  3. Department of Economics, Rzeszow University of Technology, Rzeszów, Poland

    Nataliia Gerasymchuk

  4. Department of Computer Systems and Networks, Luhansk Taras Shevchenko National University, Starobilsk, Ukraine

    Hennadii Mohylnyi

  5. Department of Security Management of an Enterprise, Private Higher Educational Establishment, European University”, Kiev, Ukraine

    Petro Kravchuk

Authors
  1. Valeriy Lakhno
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  2. Volodymyr Malyukov
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  3. Berik Akhmetov
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  4. Nataliia Gerasymchuk
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  5. Hennadii Mohylnyi
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  6. Petro Kravchuk
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Corresponding author

Correspondence to Nataliia Gerasymchuk .

Editor information

Editors and Affiliations

  1. Tomas Bata University, Zlín, Czech Republic

    Radek Silhavy

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Lakhno, V., Malyukov, V., Akhmetov, B., Gerasymchuk, N., Mohylnyi, H., Kravchuk, P. (2020). Decision Support Model for Assessing Projects by a Group of Investors with Regards of Multi-factors. In: Silhavy, R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1225. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_1

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