Аннотация
Decision-making support system for installing of renewable energy sources generators requires a large number of heterogeneous factors to be analyzed, including technical, economical, natural, legal, etc. The factors differ in terms of both representation and necessary processing. A number of factors affecting feasibility of installation of renewable energy generators was analyzed and a model for aggregating them based on Bayesian inference and other computational algorithms was developed.