Title :
Fuzzy Classifier Based on Fuzzy Decision Tree
Author :
Levashenko, Vitaly ; Zaitseva, Elena ; Puuronen, Seppo
Author_Institution :
Univ. of Zilina, Zilina
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;
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
DOI :
10.1109/EURCON.2007.4400614
