Intelligent Algorithms of Processing of Information in the Production Entomophages

The work is devoted to the problem of the use of intelligent information processing algorithms, in particular cognitive analysis and fuzzy logic, in the production of entomophages, which, from the position of the system approach, represents a complex dynamic system with control, contains a set of basic, auxiliary and service processes related to information interdependencies, and is characterized by stochasticity, multidimensionality of input and output parameters, ambiguous behavior of the biological object; the scientific novelty work of the is that, using the cognitive approach and the theory of fuzzy logic to the simulation of complex systems, in order taking into account the results of analysis of a large number and large volumes of information flows in the production of entomophage Habrobracon hebetor proposed the method of cognitive analysis of information, consisting of a cognitive model of host insect (Ephestia kuehniella) production and a fuzzy cognitive map for controlling the influence of technological parameter on the quality indicators of the Ephestia kuehniella; to create fuzzy cognitive map been used Fuzzy Logic Toolbox Matlab and and a system of fuzzy conclusion by Mamdani; the proposed method allows with sufficient accuracy to formulate control decisions in conditions of uncertainty of a biological object.