Fuzzy logic-based information processing in submarine combat systems

Current methods for data integration and decision support in submarine combat systems do not adequately account for uncertainty in an automated fashion, hence continuing a heavy reliance on operator manipulation of input data and human interpretation of output information. Fuzzy logic offers an enabling technology for automated uncertainty management in the data integration process. Application of this technology to the fuzzy characterization of contact speed with uncertain information is demonstrated, and is shown to provide significant improvement in tracking solution quality for the single-leg Target Motion Analysis problem. The uncertainty in the target end-point location is described by an enhanced Area of Uncertainty region, which is obtained through combination of the derived fuzzy range characterization with conventional probabilistic information. Follow-on efforts are in progress to address the issue of modeling uncertainty in the basic structure of a fuzzy logic system