Comparison of heuristic rule weight specification methods
Hisao Ishibuchi, Takeshi Yamamoto · 2003
We examine the performance of heuristic methods for rule weight specification in fuzzy systems for pattern classification problems. Each heuristic method is defined by the confidence measure used in the field of data mining for evaluating association rules. Simulation results show that a proposed heuristic method outperforms existing ones.