UDC 004.822, 004.827
COMPUTER MODELING OF DECISION SUPPORT PROCESSES FOR A DENTIST BASED ON SEMANTIC NETWORKS
A. V. Kroshilin, Dr. Sc. (Tech.), full professor, RSREU, Ryazan, Russia;
orcid.org/0009-0007-0044-6570, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
S. V. Kroshilina, Ph.D. (Tech.), professor, RSREU, Ryazan, Russia;
orcid.org/0009-0009-0067-1115, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
D. A. Perepelkin, Dr. Sc. (Tech.), full professor, RSREU, Ryazan, Russia;
orcid.org/0000-0003-4775-5745, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
А. А. Popova, Senior Development Engineer, Department «Technologies » PJSC Sberbank, Ryazan, Russia; 0000-0002-7166-3974, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The use of modern technologies can allow dentists to manage their practice more effectively. In daily management tasks, a specialist often has to evaluate hypotheses about which there is incomplete or insufficient information. Due to the complexity of accurate estimates under conditions of uncertainty, it becomes necessary for the decision-maker to justify the choice of a single option from a variety of suitable ones. When designing an organizational system that includes analytical information system, it is necessary to take into account the presence of some doubts about the clarity of symptoms of a particular disease. At the same time, uncertainty about the presence of specific disease in a patient persists even when all its symptoms are clearly expressed. Information and mathematical support of the proposed decision support system designed to control the process of choosing a dental treatment option is based on semantic networks, fuzzy set theory, system analysis, decision support theory, management theory in organizational systems. Dentist enters clinical picture data into the program after examining the oral cavity: the number of preserved teeth, IROPSIS, carious cavities according to Black, bruxism, allergoanamnesis, vitality, dental mobility, hygienic index, etc. In addition, clinical conditions such as input data are used, which lead the doctor to the best variant of functional design. The output data are management decision (type of removable or nonremovable orthopedic rehabilitation option) and recommendations for treatment regimen. The aim of the work is mathematical and computer modeling of management decision-making processes of a dentist using the theory of semantic networks.
Key words: : intelligent analytical system, semantic networks, fuzzy sets, management in organizational systems, decision support theory, production rules.