Title :
On rule checking and learning in an acupuncture diagnosis fuzzy expert system by genetic algorithm
Author :
Zhang, Lei ; Wang, Lisong ; Zang, Yuwen ; Seki, Hirohisa ; Itoh, Hidenori
Author_Institution :
Dept. of Intelligence & Comput. Sci., Nagoya Inst. of Technol., Japan
Abstract :
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
Keywords :
fuzzy logic; genetic algorithms; knowledge based systems; medical diagnostic computing; medical expert systems; acupuncture diagnosis fuzzy expert system; fitness function; fuzzy logic; fuzzy membership functions; fuzzy rules; genetic algorithm; rule checking; rule learning; Computer science; Diagnostic expert systems; Expert systems; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Genetic algorithms; Humans; Hybrid intelligent systems; Medical treatment;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409726
