Fuzzy logic resource manager: multi-agent techniques, fuzzy rules, strategies, and fuzzy decision tree structure

James F. Smith III

doi:10.1117/12.477630

31 July 2002 Fuzzy logic resource manager: multi-agent techniques, fuzzy rules, strategies, and fuzzy decision tree structure

James F. Smith III

Author Affiliations +

Proceedings Volume 4729, Signal Processing, Sensor Fusion, and Target Recognition XI; (2002) https://doi.org/10.1117/12.477630
Event: AeroSense 2002, 2002, 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 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.

Citation Download Citation

James F. Smith III "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); https://doi.org/10.1117/12.477630

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available