The New Approach on Fuzzy Decision Forest

The introduction of decision trees in the 1980’s lead on to the thriving research until the 90’s. However, handling data that are not in a clear form was a problem to be solved since computers were designed to only calculate crisp data. This paper presents a method that allows decision trees to handle fuzzy data. Also, for better accuracy, this paper introduces decision forests, which is a bundle of decision trees that decide the case together. Additionally we did an experiment to prove the performance of new algorithm by comparing it with support vector machine, which is known as the best algorithm in data mining field.
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