TY - JOUR
T1 - Constructing a user-friendly GA-based fuzzy system directly from numerical data
AU - Teng, You Wei
AU - Wang, Wen June
N1 - Funding Information:
Manuscript received November 11, 2002; revised June 22, 2003 and January 4, 2004. This work was supported by the National Science Council of Taiwan under Grant NSC-91-2213-E-008-013. This paper was recommended by Associate Editor H. Ishibuchi.
PY - 2004/10
Y1 - 2004/10
N2 - This paper proposes a novel genetic algorithms (GA)-based algorithm to construct a user-friendly fuzzy system for approximating an unknown system with a satisfactory degree of accuracy. In the algorithm, the adequate number of fuzzy rules, the adequate number of membership functions of each input variable, and the parameters of membership functions will be determined automatically; in addition, the dummy input variables will be detected and discarded. Finally, several typical examples are illustrated to show the effectiveness of the algorithm.
AB - This paper proposes a novel genetic algorithms (GA)-based algorithm to construct a user-friendly fuzzy system for approximating an unknown system with a satisfactory degree of accuracy. In the algorithm, the adequate number of fuzzy rules, the adequate number of membership functions of each input variable, and the parameters of membership functions will be determined automatically; in addition, the dummy input variables will be detected and discarded. Finally, several typical examples are illustrated to show the effectiveness of the algorithm.
UR - http://www.scopus.com/inward/record.url?scp=4844220240&partnerID=8YFLogxK
U2 - 10.1109/TSMCB.2004.833600
DO - 10.1109/TSMCB.2004.833600
M3 - 期刊論文
C2 - 15503501
AN - SCOPUS:4844220240
SN - 1083-4419
VL - 34
SP - 2060
EP - 2070
JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IS - 5
ER -