Computer-Based Support for Searching Rational Strategies for Investors in Case of Insufficient Information on the Condition of the Counterparty
| Autor: | V. N. Domrachev, Andrii Blozva, Dmytro Kasatkin, V. G. Malikov, Valeriy Lakhno, V. G. Saiko |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
business.industry Computer science Fuzzy set Intelligent decision support system Information technology 02 engineering and technology Investment (macroeconomics) Risk analysis (engineering) Complete information 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Counterparty business Game theory |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030519704 CSOC (2) |
| Popis: | The paper considers the model of the procedure for mutual investment into information technology and systems, in the case when the financial resources of the counterparty of the investment belong to a fuzzy set. The model is intended for the decision support system that is being developed for investors, in cases that require a choosing of rational strategies. As an apparatus for solving the problem, we use the tools of the theory of multi-step games with several terminal surfaces. Such an approach, in our opinion, allows us to find solutions to the problem under consideration. A feature of the approach proposed in the paper, and accordingly the model, was the assumption that the one side or a player-investor, does not have complete information about the actions of the opposite side. Such incomplete information may include, for example, the lack of data on the financial strategies of the investment counterparty, on the status of its financial resources, etc. It is shown that the proposed model can become the basis for the corresponding algorithmic and software implementation during the development of an intelligent decision support system for choosing rational investor strategies. During computational experiments, we have evaluated the possibility of applying the model to such complex investment objects as information technology and systems. Investing in the latter, which include, for example, 5G technology; the Internet of things; SMARTCITY artificial intelligence; cybersecurity intelligent systems and others are associated with high risk and a high degree of uncertainty. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|