Riabchun Y. Models, Methods and Information Technology for Identifying the Abilities of Entrants

Українська версія

Thesis for the degree of Doctor of Philosophy (PhD)

State registration number

0821U101067

Applicant for

Specialization

  • 122 - Комп’ютерні науки

29-05-2021

Specialized Academic Board

ДФ 26.056.008

Kyiv National University of Construction and Architecture

Essay

Scientific novelty of the obtained results. The scientific novelty of the dissertation is that: first developed by: - model of intelligent infocommunication system of identification of entrant's abilities, which is based on neuro-fuzzy output system; - unified form of fuzzy rules of the knowledge base of the fuzzy inference system, according to which the conclusion is formed on the ability of the entrant to acquire knowledge, skills and abilities in a particular specialty based on the performance of test game tasks of professional orientation; improved: - fuzzy inference system, which, in contrast to the existing ones, contains parameters and rules based on the results of professional computer game tasks; - the process of assessing professional abilities by introducing an infocommunication system to identify the abilities of applicants for higher education institutions; have been further developed: - the concept of creating hybrid systems, based on knowledge and models of artificial intelligence in the direction of data processing to form a recommendation conclusion on the choice of specialty; - models and methods of assessing the professional abilities of the individual using computer game technology. The main content of the dissertation. The dissertation is devoted to solving an important scientific problem of assessing the professional abilities of entrants to higher education institutions. Particular attention is paid to solving the problems that accompany the creation of infocommunication systems, which are designed to support decisions on the choice of field of study in conditions of fuzzy uncertainty. According to the results of the study developed: - model of intelligent infocommunication system of identification of entrant's abilities, which is based on neuro-fuzzy output system; - unified form of fuzzy rules of the knowledge base of the fuzzy inference system, according to which the conclusion is formed on the ability of the entrant to acquire knowledge, skills and abilities in a particular specialty based on the performance of test game tasks of professional orientation.

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