Title :
A simultaneous method for fuzzy memberships and rule optimization
Author :
Tang, K.S. ; Chan, C.Y. ; Man, K.F.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
Abstract :
A new scheme to optimize an optimal fuzzy subsets and rules is proposed. The method is derived by using genetic algorithms where the genes of the chromosome are classified into two types of genes. These genes can be arranged in a hierarchical form and one type of the genes control the other type of genes. The effectiveness of this genetic formulation enables the fuzzy subsets and rules to be optimally reduced and yet, the system performance is well maintained. To justify this approach of fuzzy logic design, the proposed scheme is experimentally demonstrated by applying it to control a constant water pressure pumping system
Keywords :
encoding; fuzzy control; fuzzy logic; fuzzy set theory; genetic algorithms; hierarchical systems; chromosome; constant pressure water pumping system; encoding; fuzzy control; fuzzy logic; fuzzy memberships; fuzzy rules; fuzzy subsets; genes; genetic algorithms; optimization; Biological cells; Control systems; DNA; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Genetic engineering; Optimization methods;
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
DOI :
10.1109/ICIT.1996.601590
