DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR EVALUATING INVESTMENT PROJECTS TAKING INTO ACCOUNT MULTI-FACTORITY BASED ON THE METHOD OF HIERARCHY ANALYSIS AND GAME THEORY
DOI:
https://doi.org/10.26577/JMMCS.2021.v112.i4.10Keywords:
decision support system, investment project, software product, moduleAbstract
The paper describes the developed software product-the decision support system (DSS) «DSS Invect 2020» and its module «IT INVESTMENT», which can be used both independently and as part of the DSS «DSS Invect 2020». The DSS is designed to make recommendations to the DSS during the selection of rational financial strategies by investors. «DSS Invect 2020» allows you to evaluate the attractiveness of investment projects in the field of digitalization of enterprises. The DSS «DSS Invect 2020» is implemented on a modular basis. This makes it possible to supplement the DSS with other modules.
References
1] Karacı A., "Performance Comparison of Managed C# and Delphi Prism in Visual Studio and Unmanaged Delphi 2009 and C++ Builder 2009 Languages" , International Journal of Computer Applications 26 (1) (2011): 9-15.
[2] Romashkina G.F., Tatarova G.G., "Koefficient konkordacii v analize sociologicheskih dannyh [Concordance coefficient in the analysis of sociological data]" , Sociologiya: metodologiya, metody, matematicheskoe modelirovanie 20 (4M) (2005): 131-158.
[3] Kache F., & Seuring S. "Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management" , International Journal of Operations & Production Management 37 (1) (2017): 10-36.
[4] Smit H.T., & Trigeorgis L. Flexibility and games in strategic investment (2015).
[5] Arasteh A. "Considering the investment decisions with real options games approach" , Renewable and Sustainable Energy Reviews 72 (2017): 1282-1294.
[2] Romashkina G.F., Tatarova G.G., "Koefficient konkordacii v analize sociologicheskih dannyh [Concordance coefficient in the analysis of sociological data]" , Sociologiya: metodologiya, metody, matematicheskoe modelirovanie 20 (4M) (2005): 131-158.
[3] Kache F., & Seuring S. "Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management" , International Journal of Operations & Production Management 37 (1) (2017): 10-36.
[4] Smit H.T., & Trigeorgis L. Flexibility and games in strategic investment (2015).
[5] Arasteh A. "Considering the investment decisions with real options games approach" , Renewable and Sustainable Energy Reviews 72 (2017): 1282-1294.
Downloads
Published
2021-12-31
Issue
Section
Computer Science
