On rule checking and learning in an acupuncture diagnosis fuzzy expert system by genetic algorithm
Lei Zhang, Lisong Wang, Yuwen Zang, Hirokazu Seki, Hirotaka Itoh · 2002
ADFL is an acupuncture diagnosis expert system based on fuzzy logic, which has been reported by Zhang et al. (1993, 1994). This paper gives a method to learn ADFL rules by genetic algorithms (GAs), and a technique to optimize and check fuzzy membership functions. For any length gene, we present an extended ordinal representation method. A fitness function described with fuzzy rules is explained. The experimental result indicates this method is effective.>