Iushchenko K. Models and tools for making decisions in automated personnel selection on Internet platforms in conditions of uncertainty

The object of the study is the processes of automating decision-making support under conditions of uncertainty in the selection of personnel using Internet technologies. Research methods. A complex of general scientific and statistical methods, mathematical modeling, applied programming, theory of abstract automata, mathematical logic, set theory, etc. was used. The purpose of the work is the development of models and tools for decision-making under conditions of uncertainty in automated personnel selection on Internet platforms. A feature of the solved problems is that the proposed approach can be used in the development of personnel management systems using artificial intelligence tools both through applications on personal computers, which were given in the work, and implemented on Internet platforms. The developed theoretical and methodological base, new models and algorithms will make it possible to build a new class of personnel management systems, improve personnel selection and segmentation processes, and conduct an objective assessment of the knowledge and skills of employees. Novelty: for the first time, an instrumental tool was developed that reproduces the actions of a person undergoing testing using the Internet; for the first time, the pilot implementation of 3D resumes on the web platform was carried out with experimental testing of the working version, definition of the 3D resume term and development of the creation methodology; received further development of the approach of H.P. Dontsia, V.A. Pepelyaeva, O.M. Trofymchuk on the optimal division into the number of groups, which is expanded by algorithmizing the model for generating a random question selection for forming a set of questions in the employee knowledge testing system; obtained further development of the model based on the inverse function and the Neumann-Pearson method for generating a random task number for a given analytical distribution function. The results of the research were implemented: in the work of the Limited Liability Company "Construction and Design Firm Ukraine" to create a form of training for personnel on safety techniques when performing construction works; in the activity of the "Academy of Labor, Social Relations and Tourism" for use in the educational process. The field of use is any industry when making decisions under conditions of uncertainty during the automated selection of personnel on Internet platforms.