A fuzzy logic-based intelligent controller for contact management data integration

The paper is concerned with the problem of intelligent control in the selection of data, models, and processing alternatives for contact management data integration in an undersea environment. A fuzzy-logic based system, developed for automating this selection process under uncertainty, is presented. This involves the application of a network of fuzzy inference systems and a knowledge-based decision algorithm, and is implemented as a process controller. The process controller is designed to provide decision support within a hierarchical data processing framework. Two fuzzy inference systems are detailed for inferring information essential to data integration which includes system observability and contact kinematics. In addition, a novel technique for handling uncertainty in the input data to a fuzzy inference system is summarized. Experimental results, using simulated data, are presented to demonstrate the effectiveness of this concept. Recommendations for future research are also included.