Neural Network Based Multiple Criteria Decision Making

To solve the multiple criteria decision making problems, the multiattribute value function was extended based on the existence of the value function. A 3 layered BP neural network was used to construct the value function from the samples extracted from the multiple criteria decision making problems, then the calculated values of every plan were compared. The automation of multiple criteria decision making is implemented, the results agree with the results of the traditional algorithms and meet the Pareto optimal criterion.