Ensemble Simplified Fuzzy ARTMAP with Modified Plurality Voting

In this paper, a method estimating the probability which is used in plurality voting is employed to work for plurality voting. The unknown probability in plurality voting leads to poor performance when classification is performed. Confusion matrix could estimate the probability effectively which is employed in this paper to estimate the probability. UCI datasets have been used to evaluate the applicability and performance of the proposed method. The experiments demonstrate the potential of the proposed method if offering an optimal solution to the plurality voting.