The essential for resolving uncertain decision-making problem is how to transform the benefit and loss matrix to the compressed real vector with one dimension.
阐述了解不确定型决策分析问题的实质就是将益损值矩阵经变换向量转换为一维压向量。
Recognition completes the classification which classifies the above-mentioned character vector by classifier which gets the final result by decision-making function.
识别完成最后的分类，这个过程将前面提取出来的特征矢量用分类器进行分类，通过决策函数得到最后的分类结果。
Furthermore, with the help of the normalized decision-making matrix and the object weight vector, the comprehensive evaluations of the alternatives were worked out.
通过规范化决策矩阵和目标权重向量得到各方案的综合评价值；
应用推荐