It extracted learning samples from the MADM problem, estimated the Multiple Attribute Utility Function via LSSVM, and then selected the most desirable alternative.

• 该方法从决策问题本身出发，构造学习样本，再通过最小二乘支持向量机拟合出多属性效用函数，从而实现对方案的排序。