Fuzzy Classifier Based on Fuzzy Decision Tree
Vitaly Levashenko, Elena N. Zaitseva, Seppo J. Puuronen · 2007
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.