基于改进的双重差异驱动赋权法的科技成果评价

Scientific and technological achievements evaluation based on improved dual differentiation

将纵横向拉开档次法运用到"时序立体数据"中,将动态综合评价问题转换为静态的群体评价问题;为解决传统差异驱动赋权关于评价指标的敏感性问题,采用聚类分析先对专家分组有效减少实际专家人数,再运用双重差异驱动法对专家组赋权,最后得到24项科技成果的综合排名。实证研究表明:从整体差异出发的指标赋权方法和基于聚类分析的双重差异专家赋权法在综合评价中具有稳定性和连续性。

The vertical and horizontal scatter degree is used to the multi- dimensional time series,which realize the purpose that the dynamic comprehensive evaluation problem is converted into a group evaluation. Aiming at the problem of the traditional differentiation driven empowerment about the sensitivity of the evaluation index,using cluster analysis for expert group first which reduce the number of experts actually,then using the method of double differences drive for expert group empowerment,finally get the comprehensive ranking 24 items of scientific and technological achievements. Empirical studies show that weighting method from overall difference and double difference experts empowerment method based on clustering analysis in comprehensive evaluation are stability and continuity.