Application of Fuzzy Logic for Detection of Financial-Customs Violations

This paper proposes the application of Fuzzy Logic as a tool to detect customs and financial violations. The fuzzy rules are developed by the method of multi-subject multicriteria expertise. Synthetic data generated using Gretel online environment is used for testing. The resulting fuzzy rule system was tested with real data from the Customs Agency, and the results obtained showed very high accuracy.