Popular methods of decision-making in building structures condition management do not fully consider peculiarities of their up-to-date operation. These approaches do not take into account the kinds of uncertainty occurring at a building designing stage and taking place while monitoring. It leads to the decrease in building targeted application efficiency and increase of controlling organization costs. The following approach suggests the improvement in the decision-making support systems by integration of expert knowledge and experience with tool and visual building structure control results. The purpose of the paper is effective decision-making aimed at uncertainty level decrease in the process of detection of operational impacts on building structures for the required durability provision. This purpose is achieved by artificial intelligence element application (fuzzy sets) in the joint analysis of retrospective, current and expert information on the building structure state. The authors suggest selecting building structure state controlling actions with the help of fuzzy conclusions obtained by the usage of designed algorithms and calculated procedures. The applicability of the given approach was proved by the calculated example. A grounded variant of decision on the building structure state intellectual control was submitted (a damaged building wall). On the basis of these results the conclusions on the application field and conditions of the designed algorithms and model were made.