The voting as a way to increase the decision reliability

The class of weighted voting decision rules are studied. The estimates for probability of erroneous decision are obtained for a number of cases. The “accelerated perceptron” algorithm for weights correction is proposed and studied in learning and self-learning modes. The computer simulation results are provided.