Modeling energy efficiency of a bioreactor with alternative energy sources using membership functions of linguistic variables
Georhii Ratushniak, Ivan KoshcheievThe hierarchical structure of the neuro-fuzzy network that corresponds to the tree inference of factors influencing the bioconversion process was describes in the article. A fuzzy matrix of knowledge of the ratio in the system level of impact of alternative energy sources was proposed. The system of fuzzy logic equations to linguistic expressions that characterize the surface of belonging of variables with relevant terms was made. The values of function of belonging of paired comparisons was calculated for carrying the defuzzification at the level on the alternative sources of energy and the degrees of elements to the terms “low, medium, high”was defined in result. The using of alternative energy sources was presented in the form of fuzzy sets, which was described by functions of belonging for the linguistic variable "non-traditional energy sources"