Referenced Items are not available for this document.
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.
Published in:
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Date of Conference: 23-26 July 2007
- Page(s):
- 1 - 6
- ISSN :
- 1098-7584
- E-ISBN :
- 1-4244-1210-2
- Print ISBN:
- 1-4244-1209-9
- INSPEC Accession Number:
- 9795992
- Conference Location :
- London
- Digital Object Identifier :
- 10.1109/FUZZY.2007.4295345
- Product Type:
- Conference Publications
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