Fuzzy management of surveillance sensors

A fuzzy management system is developed to cope with the problem of evaluating radar tasks in order to obtain their priority of execution. Based on all the available track and sector data, a reasoning system determines a priority for each one of the possible tasks that needs to be executed in each decision cycle through an inference process similar to that performed by a human operator. This methodology allows one to integrate high-level information in the decision process. The formal method elected to represent the variables involved in this decision process are the possibility theory and fuzzy set theory, since it offers a unified framework to represent uncertainty knowledge. In this sense, to obtain the priority for each task the reasoning process relies on a decision tree whose nodes are linguistic variables that represent the intermediate concepts used by a human operator to define the task priority. The study demonstrates the validity of this approach to cope with the task management problem