| Autor: |
LAKHNO V., KARTBAYEV T., USKENBAYEVA R, TOGZHANOVA K., ALIMSEITOVA ZH. BEKETOVA G., TURGYNBAYEVA, A. |
| Rok vydání: |
2021 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.5352804 |
| Popis: |
In the article is suggested a model for the computing core for the decision support system (DSS) in assessing the risks of investment loss during the dynamic planning (DP) of SmartCity development. Unlike existing solutions, the suggested model gives specific recommendations for assessing the risks of loss. If the risk forecast is unsatisfactory, flexible adjustment of the investment process parameters is possible in order to achieve an acceptable financial result for the parties. The novelty of scientific results consists in the fact that for the first time it is suggested to apply a new class of bilinear multi-step games. This class allowed us to adequately describe the process of risk assessment of investment loss, using the example of dynamic planning for the placement of players' financial resources in SmartCity projects. A distinctive feature of the considered approach is the use of tools based on the solution of a bilinear multi-step game of both quality with several terminal surfaces and a degree game solved in the class of mixed strategies. Computational experiments were carried out in the Maple mathematical modeling package. An DSS was developed in which a risk assessment model is implemented. The developed DSS allows you to reduce the discrepancy between the data of forecasting the risks of investment loss during SmartCity and real return on investment. The model presented in the paper is based on solving a linear multistep degree game using the results of solving a multistep quality game with multiple terminal surfaces. The problem in the article is considered in the statement, standard for a multi-step game. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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