Fuzzy Rule Determination By Co-evolutionary Data Mining

A fuzzy logic based expert system has been developed that automatically allocates electronic attack resources in real-time over many dissimilar platforms. A new approach is being explored that involves embedding the resource manager in an electronic game environment. The game allows a human expert to play against the resource manager in a simulated battlespace with each of the defending platforms being exclusively directed by the fuzzy resource manager and the attacking platforms being controlled by the human expert or operating autonomously under their own logic. This approach automates the data mining problem. The game automatically creates a database reflecting the domain expert's knowledge. It calls a data mining function, a genetic algorithm, for data mining of the database as required and allows easy evaluation of the information mined in the second step. The criterion for re-optimization is discussed. The mined information is extremely valuable as shown through demanding scenarios.