An analysis of evaluation information: a method based on SVD & dimensionality reduction model

Huan Qi, Yunfeng Liu, Xiaoping Wang, Henghui Xiao, Shan-Shan Wang
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Abstract

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.
评价信息分析:基于奇异值分解和降维模型的方法
评价存在于各行各业,评价的公正性和评价专家的偏好问题受到广泛关注。然而,关于评价公正性的研究还处于起步阶段。本文利用奇异值分解和降维模型来考虑评价的公正性,分析了评价中专家的“共同判断”。本文将原始数据评价对象的排序顺序与应用该模型后的排序顺序进行了对比。进一步,在应用SVD&DR模型后,采用聚类分析方法对评价专家进行分类。
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