Intelligent computer decision support system for optimizing the control of investment analysis and projecting processes in the context of new industrialization
A. F. Shorikov, E. V. Butsenko, V. A. Tyulyukin
A. F. Shorikov
Available Online January 2019.
- https://doi.org/10.2991/sicni-18.2019.57How to use a DOI?
- intellectual systems; investment projecting; computer expert systems; production rules; clausal form; network models and methods
- The article discusses the issues of development and creation of an intelligent computer system for decision support that allows to optimize the control of investment analysis and projecting processes in the context of new industrialization. The development and creation of such a system is based on the technologies of computer expert decision support systems, neural networks, machine learning, as well as models and methods of network economical and mathematical modeling. The main stages of creating a computer expert system for optimizing the control of the processes of investment analysis and projecting by an economic entity are considered. Specific examples of the development of logical rules in the production and clausal forms for the knowledge base of the proposed computer expert system are given. The work analyzes the feasibility of selecting specific models and technologies suitable for creating the proposed intellectual system. Results are presented that testify to the effectiveness of its application in the practical activities of economic entities when optimizing the control of investment analysis and projecting processes.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - A. F. Shorikov AU - E. V. Butsenko AU - V. A. Tyulyukin PY - 2019/01 DA - 2019/01 TI - Intelligent computer decision support system for optimizing the control of investment analysis and projecting processes in the context of new industrialization BT - Proceedings of the 2nd International Scientific conference on New Industrialization: Global, national, regional dimension (SICNI 2018) PB - Atlantis Press SP - 283 EP - 287 SN - 2352-5398 UR - https://doi.org/10.2991/sicni-18.2019.57 DO - https://doi.org/10.2991/sicni-18.2019.57 ID - Shorikov2019/01 ER -