关于理想点多属性决策方法中权值的确定
发布时间:2019-04-26 11:52
【摘要】:文章首先分析了以往属性权重确定中的不足之处,然后提出了一个基于主成分的权重确定方法。该方法根据属性指标在样本数据中的贡献率大小来确定权重,在指标权重选择上克服了主观因素的影响,避免了人为因素带来的偏差,有助于保证客观地反映样本间的现实关系。并且对于综合样本信息多的指标赋予了较大的权重,对于综合样本信息少的指标赋予了较小的权重,这符合了指标权重表示指标重要性的基本含义。
[Abstract]:This paper first analyzes the shortcomings of the previous attribute weight determination, and then proposes a weight determination method based on principal components. This method determines the weight according to the contribution rate of attribute index in sample data, overcomes the influence of subjective factor in the selection of index weight, and avoids the deviation caused by man-made factor. It helps to ensure the objective reflection of the actual relationship between the samples. It also gives a large weight to the index with more comprehensive sample information, and a smaller weight to the index with less comprehensive sample information, which accords with the basic meaning that the index weight represents the importance of the index.
【作者单位】: 江西理工大学南昌校区;
【基金】:江西省科技厅自然科学基金资助项目(2009GZS0010)
【分类号】:C934
[Abstract]:This paper first analyzes the shortcomings of the previous attribute weight determination, and then proposes a weight determination method based on principal components. This method determines the weight according to the contribution rate of attribute index in sample data, overcomes the influence of subjective factor in the selection of index weight, and avoids the deviation caused by man-made factor. It helps to ensure the objective reflection of the actual relationship between the samples. It also gives a large weight to the index with more comprehensive sample information, and a smaller weight to the index with less comprehensive sample information, which accords with the basic meaning that the index weight represents the importance of the index.
【作者单位】: 江西理工大学南昌校区;
【基金】:江西省科技厅自然科学基金资助项目(2009GZS0010)
【分类号】:C934
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