DocumentCode
2353430
Title
Fuzzy Classifier Based on Fuzzy Decision Tree
Author
Levashenko, Vitaly ; Zaitseva, Elena ; Puuronen, Seppo
Author_Institution
Univ. of Zilina, Zilina
fYear
2007
fDate
9-12 Sept. 2007
Firstpage
823
Lastpage
827
Abstract
A popular method for making a fuzzy decision tree for classification is Fuzzy ID3 algorithm. We introduce a new approach that uses cumulative information estimations of initial data. Based on these estimations we propose a new greedy version of fuzzy ID3 algorithm to be used to generate understandable fuzzy classification rules. The goal is to find a sequence of rules that causes near minimal classification costs.
Keywords
data mining; decision trees; fuzzy logic; fuzzy set theory; pattern classification; cumulative information estimation; data mining; fuzzy ID3 algorithm; fuzzy classifier; fuzzy decision tree; Classification tree analysis; Cost function; Data mining; Decision trees; Electronic mail; Fuzzy logic; Fuzzy sets; Partitioning algorithms; Pattern recognition; Size measurement; Data Mining; Fuzzy Decision Rules; Fuzzy Decision Tree;
fLanguage
English
Publisher
ieee
Conference_Titel
EUROCON, 2007. The International Conference on "Computer as a Tool"
Conference_Location
Warsaw
Print_ISBN
978-1-4244-0813-9
Electronic_ISBN
978-1-4244-0813-9
Type
conf
DOI
10.1109/EURCON.2007.4400614
Filename
4400614
Link To Document