嵌入PCA-LINMAP的拉开档次法及应用

Scatter-degree Method Embedded in PCA-LINMAP and Its Application

为提高拉开档次法中的信息精度,本文将PCA-LINMAP法嵌入到拉开档次法中,从更细微的角度构建了客观信息与主观判断相结合的评价模型。实例分析表明,本文构建的评价方法在充分考虑样本差异的基础上,能够较好的克服主观随意性,从而实现了客观信息与主观判断的有效集成。通过对拉开档次法的扩展,进一步佐证了PCA-LINMAP法与拉开档次法相结合是为一类相对可靠、适用性较好的评价方法。

To effectively improve the accuracy of information inserted in Scatter-degree method and overcome the shortcomings of mainstream method in determining the index weight,this paper uses the method of PCA-LINMAP to evaluate indices on the basis of fully considering the differences between samples.And,the subjective information is embedded in the method of scatter-degree according to the results.At last,this paper extendes the method called scatterdegree to further prove that the combination between PCA-LINMAP and scatter-degree can better solve the problem of evaluation.