Fuzzy logic resource manager: tree structure and optimization

James F. Smith III; Robert D. Rhyne

doi:10.1117/12.436959

16 August 2001 Fuzzy logic resource manager: tree structure and optimization

James F. Smith III, Robert D. Rhyne

Proceedings Volume 4380, Signal Processing, Sensor Fusion, and Target Recognition X; (2001) https://doi.org/10.1117/12.436959
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

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 expert system has been developed that automatically allocates electronic attack (EA) resources in real-time. 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 four trees, the isolated platform tree, the multi-platform tree, the fuzzy parameter selection tree and the fuzzy strategy tree. The isolated platform tree provides a fuzzy decision tree that allows an individual platform to respond to a threat. The multi-platform tree allows a group of platforms to respond to a threat in a collaborative fashion. The fuzzy parameter selection tree is designed to make optimal selections of root concept parameters. The strategy tree is a fuzzy tree that an agent uses to try to predict the behavior of an enemy. Finally, an example is provided that shows how the resource manager uses its subtrees to deliver high quality responses for many demanding scenarios.

Citation Download Citation

James F. Smith III and Robert D. Rhyne "Fuzzy logic resource manager: tree structure and optimization", Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); https://doi.org/10.1117/12.436959

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