Classification of small boats using fuzzy classifier

Drug trafficking organizations are using “go-fast” boats, small fishing boats and commercial containers to smuggle illegal drugs. Because that, detection, classification, and tracking of small vessels are important tasks for improving the security of complex maritime systems. This paper presents a simple method based on the least square method, averaging operator, instead of T-norm operator, and triangular membership function with 0.5 interpolations, in order to get a singleton fuzzy classifier from experimental data. The maxim number of fuzzy rules is limited to the sum of the number of membership function of each input variable; it means that the number of fuzzy rules is reduced with respect to classical fuzzy systems. An application for boats classification from their acoustic signatures is shown.