首页> 外文期刊>Journal of Systems Science and Information >Analyzing Evaluation Information: an SVD & Dimensionality Reduction Model Based Method
【24h】

Analyzing Evaluation Information: an SVD & Dimensionality Reduction Model Based Method

机译:分析评估信息:基于SVD和降维模型的方法

获取原文
获取原文并翻译 | 示例
           

摘要

Evaluation exists in all kinds of trades, where the justness of evaluation and the preferences of evaluating experts have been brought into focus extensively. However, the research on justness of evaluation is still at the initial stages. This paper considers the justness of evaluation using the SVD (Singular Value Decomposition) and Dimensionality Reduction model, analyzes "common judgment" of experts in evaluation. This paper contrasts the sort order of the evaluation objects according to the primary data with that after applying this model. Further, this paper use Cluster Analysis method to classify evaluating experts, likewise, after applying SVD&DR model.
机译:评估存在于各种行业中,评估的公正性和评估专家的偏好已成为广泛关注的焦点。但是,评价公正性的研究仍处于起步阶段。本文考虑了采用奇异值分解和降维模型进行评估的合理性,分析了评估专家的“共同判断”。本文对比了根据原始数据对评估对象的排序顺序与应用此模型后的排序顺序。此外,在应用SVD&DR模型之后,本文同样使用聚类分析方法对评估专家进行分类。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号