DocumentCode :
2642704
Title :
A proposed framework for incorporating ´weight of evidence´ within a fuzzy rule based classification system
Author :
Hamilton-Wright, Andrew ; Stashuk, Daniel W.
Author_Institution :
Syst. Design Eng., Waterloo Univ., Ont., Canada
fYear :
2005
fDate :
26-28 June 2005
Firstpage :
466
Lastpage :
471
Abstract :
Two different strategies for the firing and weighting of rules in a fuzzy rule based classification system (FRBCS) are examined. The rules are automatically obtained by the "pattern discovery" (PD) by A.K.C. Wong and Y. Wang (1997) algorithm and applied via input membership functions to a FRBCS by A. Hamilton-Wright and D. W. Stashuk (2005). Classification performance of the FRBCS when using an occurrence based rule weighting and standard rule firing logic was compared to performance obtained when using a weight of evidence (WOE) based rule weighting with an "independent" rule firing strategy. Performance was studied across various linearly and non-linearly separable class distributions. A new defuzzification and rule firing framework required to accommodate the WOE rule weighting is described. The occurrence based rule weighting and standard rule firing strategy performed better than WOE rule weighting and "independent" rule firing. Variance in the estimation of the WOE statistic, related to the number of training examples available, may limit the performance of the WOE scheme.
Keywords :
fuzzy systems; pattern classification; defuzzification; fuzzy rule based classification system; independent rule firing; membership function; occurrence based rule weighting; pattern discovery; rule firing framework; separable class distribution; weight of evidence; Data mining; Design engineering; Entropy; Frequency estimation; Fuzzy systems; Logic; Quantization; Statistical distributions; Statistics; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
Type :
conf
DOI :
10.1109/NAFIPS.2005.1548580
Filename :
1548580
Link To Document :
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