On the Issue on the Development of Intelligent Decision Support Systems in the Production of Entomophages
Vitaliy Lysenko, Irina Chernova · 2021
The work is devoted to the development of intelligent decision support systems in the production of entomophages, using the Bayesian theorem, semantic modeling, data mining; the object of research was management process the cultivation of caterpillars Ephestia kuehniella in a specialized box in the production of entomophage Habrobracon hebetor; identified factors that mainly affect the efficiency of the production of entomophages and the level of quality of entomological products, a Bayesian network in the form of a directed acyclic graph is developed; conditional probabilities for each of the network vertices are defined; the decision-making process on the influence of factors on the efficiency of entomophages production and the level of quality of entomological products in the form of probability distribution diagrams is structured; a predicate semantic network has been developed to formalize the modeling process in the production of entomophages based on the Bayesian theorem; the considered approaches give the chance of formation of optimum strategies of management of manufacture, make decisions on improving production efficiency and level of product quality, using a probabilistic approach.