New algorithm to get optimal threshold for three-decision-making

The traditional three-decision-making model relies on the experience of experts to set the threshold,thus impeding the wide application of three-decision-making model in many fields.To minimize the decision-making risk,a computational model of the risk-loss was built,and a new classification algorithm which needs no priori knowledge was given.The algorithm used model conditions to determine the range of parameters value which minimized the risk-loss,then divided the range into several equal grids,got the smallest range of parameters through searching these grids,and the smallest range was the optimal threshold.At last,a three-decision-making classifier was built by using the threshold,and then this classifier and Bayesian classifier were applied to part of UCI data sets.The comparison shows that the performance of three-decision-making classifier is superior,which shows the effectiveness of the algorithm.