A Method of Multiobjective Synthetic Evaluation Based on Artificial Neural Networks and Its Applications
基于三层BP网络的多指标综合评估方法及应用

In this paper, a method of multiobjective synthetic evaluation based on artificial neural networks is presented. First, a new kind of utility function, which changes evaluation values with different dimensions and different kinds of indexes into values in range of with no dimension, not only emphasizes on the principle of "reward good and penalize bad" but also makes it easy for us to train neural networks to be used in this paper. Second, how to make decision on the weights of indexes is discussed and the difficulties are analyzed. Third, the principle of multiobjective synthetic evaluation based on artificial neural networks is described in detail, and applied to a real synthetic assessment of synthetic benefits of 23 enterprises in China. The results are satisfactory. In the end of this paper, the characteristics of the method proposed in this paper are analyzed.