Model of fuzzy inference of the risk assessment of cargo pass through the state border

Abstract

The article deals with the problem of automating the procedure of profiling risk-established according to characteristic features (risk indicators) of goods that can be used for the transport of illegal objects, the implementation passes of the sample (depth) checks at the checkpoints across the state border. A model of fuzzy inference, the method for calculating the membership functions of input and output variables, which are represented as linguistic, and their method of direct evaluation are suggested in the paper.