Fuzzy logic resource manager: multi-agent fuzzy rules, self-organization and validation

Abstract

Modern naval battleforces generally include many different platforms each with onboard sensors such as, radar, ESM, etc. The sharing of information measured by local sensors across the battlegroup should allow for near optimal decisions. A fuzzy logic algorithm has been developed that automatically allocates electronic attack (EA) resources in real-time. The controller must be able to make decisions based on rules provided by experts. The fizzy logic approach allows the direct incorporation of expertise. Genetic algorithm based optimization is conducted to determine the form of the membership functions for the fuzzy root concepts. Two algorithms for allocating power when faced with uncertainty are discussed. The self-organizing abilities of groups of agents controlled by the resource manager are considered. Methods of validating the resource manager are examined. These include evaluation through the scenario generator, a digital war game environment, the creation of mathematical measures of effectiveness, and other experimental test.