@ARTICLE{Yaremko_Svetlana_A._Intelligent_2021,
 author={Yaremko, Svetlana A. and Kuzmina, Elena M. and Savina, Nataliia B. and Gromaszek, Konrad and Yeraliyeva, Bakhyt and Borankulova, Gauhar},
 volume={vol. 67},
 number={No 2},
 journal={International Journal of Electronics and Telecommunications},
 pages={163-168},
 howpublished={online},
 year={2021},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={The article deals with the features and characteristics of intelligent systems for modelling business processes. Their classification was made and criteria for comparison were developed. According to the comparative analysis of existing expert systems for intelligent analysis, a reasonable choice of system for modelling business processes of a particular enterprise has been carried out. In general, it was found that the introduction of intelligent systems for modelling business processes of the enterprise and forecasting its activities for future allows management of the company to obtain relevant and necessary information for the adoption of effective management decisions and the development of a strategic plan.},
 type={Article},
 title={Intelligent System in the Context of Business Process Modelling},
 URL={http://www.czasopisma.pan.pl/Content/118880/PDF/23_2887_Kuzmina_sk.pdf},
 doi={10.24425/ijet.2021.135959},
 keywords={business process, automation, simulation modelling, intelligent system, expert system, intelligent analysis, forecasting},
}