Title :
Ensembles of Fuzzy Classifiers
Author :
Canul-Reich, Juana ; Shoemaker, Larry ; Hall, Lawrence O.
Author_Institution :
South Florida Univ., Tampa
Abstract :
The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (adaptive neuro-fuzzy inference systems). We compare results from bagging to those of a single classifier using both crisp and fuzzy classifier combination methods. Results on 20 data sets show that bagging results in a significantly more accurate classifier.
Keywords :
adaptive systems; fuzzy reasoning; learning (artificial intelligence); neural nets; adaptive neuro-fuzzy inference systems; bagging; fuzzy classifiers; learning algorithm; Adaptive systems; Bagging; Classification tree analysis; Computer science; Fuzzy logic; Fuzzy sets; Inference algorithms; Iris; Mathematical model; Testing;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295345
