A genetic algorithm for expert system rule generation
John Determan, James A. Foster · 2001
We applied genetic algorithms to fuzzy rule generation to compute expert system rules from data. Our work introduces several innovations that improve both the speed of the rule generation process and the accuracy of the generated rules (Determan 2000). Our work also contributes to the application of GAs to combinatorial problems in general.