Weighted Decisions in a Fuzzy Random Forest
نویسندگان
چکیده
A multi-classifier system obtained by combining several individual classifiers usually exhibits a better performance (precision) than any of the original classifiers. In this work we use a multi-classifier based on a forest of randomly generated fuzzy decision trees (Fuzzy Random Forest), and we propose a new method to combine their decisions to obtain the final decision of the forest. The proposed combination is a weighted method based on the concept of local fusion and on the data set Out Of Bag (OOB) error. Keywords— combination methods, fuzzy trees, local fusion, multi-classifier, random forest
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