This paper deals with a modern approach of working with an information and data uncertainty – by the use of fuzzy logic and the Fuzzy Logic Toolbox – for building of classification models of the technical condition evaluation of bridge objects, both their superstructure and substructure. The proposed models have hierarchical architecture, built of the Mamdani’s fuzzy inference systems. The models were validated on a data set of real bridges in operation. In the modelling process, the analysis of bridge rating methods in the Czech Republic and abroad was applied. The analysis of the amounts and shapes of input and output membership functions of given fuzzy sets was carried out, the numbers of fuzzy inference rules were determined and the appropriate choice of the defuzzification method was found out. On the basis of the achieved results, the utility of the presented method of soft computing in the evaluation of the bridge technical conditions was proved.