Title :
Incremental fuzzy modeling
Author :
Evsukoff, Alexandre ; Branco, Antonio C S ; Galichet, Sylvie
Author_Institution :
ILTC, Instituto Doris Ferraz de Aragon, Niteroi, Brazil
fDate :
6/23/1905 12:00:00 AM
Abstract :
Presents a method for fuzzy model identification whose main characteristic is the incremental creation and automatic distribution of the fuzzy sets in the domain of each input variable. The output rule parameters are optimized by a least square error minimization. The fuzzy sets are determined in such a way that the resulting fuzzy rule base remains reasonably readable by domain experts. The methodology is applied to numerical examples found in the literature
Keywords :
fuzzy set theory; fuzzy systems; identification; optimisation; fuzzy model identification; fuzzy rule base; fuzzy sets; incremental fuzzy modeling; least square error minimization; output rule parameters; Buildings; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Input variables; Least squares methods; Optimization methods; Prototypes;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1008969
