Title :
A method for automatic generation of a fuzzy model
Author :
Yen, John ; Wang, Haojin ; Liao, James
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
The goal of this research is to develop a method to automate the process of fuzzy model construction. The method we developed extends the existing methods and is based on a combination of genetic algorithms and statistic techniques. The preliminary testing shows that it has the advantages of implementation simplicity, a short training cycle and simple resulting fuzzy model
Keywords :
digital simulation; fuzzy set theory; genetic algorithms; identification; learning systems; modelling; statistical analysis; automatic fuzzy model generation; fuzzy model identification; fuzzy set theory; genetic algorithms; statistic techniques; training cycle; Art; Buildings; Fuzzy logic; Fuzzy sets; Fuzzy systems; Linearity; Mathematical model; Rail to rail inputs; Statistics;
Conference_Titel :
Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-1485-9
DOI :
10.1109/IFIS.1993.324208
