MODEL FOR SUPPORTING DECISIONS OF A GROUP OF A SMART CITY PROJECT INVESTORS, TAKING INTO CONSIDERATION MULTIFACTORIALITY

Abstract

Creating a multi-factor decision support model for a group of investors for Smart City development. The article describes the method of using of the mathematical decision support model in the evaluation of investment projects. The results are based on the decision of a bilinear multi-step quality game with several terminal surfaces. The model is focused on further software implementation of the decision support system (DSS) or expert system for cross-platform software products. In doing so, players control a dynamic system in multidimensional project spaces. The scientific novelty of the article is that, in contrast to the existing solutions and close to the conceptual focus of research, in the article, for the first time we consider a new class of bilinear multiplayer games. For the first time, we have proposed a solution that allows us to appropriately and correctly describe the investment processes, considering the multifactorial nature of the problem. Computational experiments were performed in MatLab to find sets, investor preferences, and their optimal financial strategies in the analysis of Smart City development projects. The results of the computational experiments confirmed the correctness and capability of the model. In terms of practical importance, the scope of investing in Smart City development projects is considered, given the multifactorial nature of the task and the potential financial strategies of investor groups. The model makes it possible to evaluate the attractiveness for the investor groups (players) of the projects being analyzed.