31 July 2002 Fuzzy logic resource manager: multi-agent techniques, fuzzy rules, strategies, and fuzzy decision tree structure
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Modern naval battleforces generally include many different platforms each with onboard sensors such as radar, ESM, and communications. The sharing of information measured by local sensors via communication links across the battlegroup should allow for optimal or near optimal decisions. A fuzzy logic algorithm has been developed that automatically allocates electronic attack (EA) resources in real-time. The fuzzy logic approach allows the direct incorporation of expertise allowing decisions to be made based on these rules. Genetic algorithm based optimization is conducted to determine the form of the membership functions for the fuzzy root concepts. The resource manager is made up of five parts, the isolated platform model, the multi-platform model, the communication model, the fuzzy parameter selection tree and the fuzzy strategy tree. Automatic determination of fuzzy decision tree structure using a genetic program, an algorithm that creates other computer programs is discussed. A comparison to a tree obtained using a genetic program and one constructed based on expertise is made. The automatic discovery through genetic algorithms of multi-platform techniques, rules and strategies is discussed. Two new multi-platform power allocation algorithms based on fuzzy number theory and linear and nonlinear programming are introduced. Methods of validating the algorithms are examined.
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James F. Smith, James F. Smith, } "Fuzzy logic resource manager: multi-agent techniques, fuzzy rules, strategies, and fuzzy decision tree structure", Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477630; https://doi.org/10.1117/12.477630

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