Abstract
This article describes a new analytical model for the mathematical support of decisions during the project’s evaluation process. Smart City technology development projects are considered as an example of a subject area for investment. Unlike existing solutions, the new model considers the multifactorial nature of data sets. The consecutiveness of investors’ steps in implementing their financial strategies was also taken into account. The model is focused on subsequent software implementation in intelligent cross-platform decision support systems. The proposed approach allows evaluating the attractiveness for investors (players) of the analyzed projects. Also, unlike the solutions previously proposed by the authors, the model considers situations in which players control a dynamic system in multidimensional project spaces. The results presented in the article were obtained based on the solution of a bilinear multistep quality game with several terminal sets. The scientific novelty of the work lies in the fact that, unlike existing solutions, this article considers a new class of bilinear multi-step games, which allows one to correctly and adequately describe investment processes, given the multifactorial nature of the problem statement. Thus, a solution for investors can be obtained analytically. The results of a computational experiment that were obtained using the prototype of decision support systems (DSS) module were described.
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Lakhno, V. et al. (2021). Model for Supporting Decisions of Investors, Taking into Consideration Multifactoriality and Turnover. In: Botto-Tobar, M., Montes León, S., Camacho, O., Chávez, D., Torres-Carrión, P., Zambrano Vizuete, M. (eds) Applied Technologies. ICAT 2020. Communications in Computer and Information Science, vol 1388. Springer, Cham. https://doi.org/10.1007/978-3-030-71503-8_40
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