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Fuzzy decision tree using soft discretization and a genetic algorithm based feature selection method
2013
2013 World Congress on Nature and Biologically Inspired Computing
In data mining, decision tree learning is an approach that uses a decision tree as a predictive model mapping observations to conclusions. The fuzzy extension of decision tree learning adopts the definition of soft discretization. Many studies have shown that decision tree learning can benefit from the soft discretization method leading to improved predictive accuracy. This paper implements a Fuzzy Decision Tree (FDT) classifier that is based on soft discretization by identifying the best
doi:10.1109/nabic.2013.6617869
dblp:conf/nabic/ChenL13
fatcat:zrdxshyum5dzdmjitrnzfjje6y