基于改进理想解法的动态评价方法研究
DYNAMIC EVALUATION METHOD BASED ON IMPROVED TOPSIS
为了比较多个系统在不同时刻的发展水平和某一段时间的动态累积水平, 需要进行动态评价, 将二维数据加入时序数据扩展为三维数据~(评价对象、评价指标、时间), 提出基于改进理想解法的动态评价方法. 该方法利用决策矩阵的信息, 客观地赋予各指标权重系数, 并以各方案到理想点距离的加权平方和作为综合评价的判据, 该方法同时考虑各评价指标值的差异程度和增长程度, 利用二次加权法, 计算出各评价对象某个时间段内总体评价值. 通过实际案例模拟研究, 发现该方法较好地实现对不同评价对象在不同时刻的动态评价. 基于改进理想解法的动态评价方法给比较多个系统在不同时刻的总体发展水平~(动态评价) 提供了思路, 是综合评价方法研究的有益补充, 可以利用该方法进行应用研究.
A dynamic evaluation method is proposed, in order to compare multiple systems at different times. The two-dimensional data with time series data is extended to three-dimensional data. Dynamic evaluation method based on improved TOPSIS is put forward. The method take into account the evaluation index values difference degree and the evaluation index values growth degree and this method can get the evaluation values and sequencing results of the evaluation objects at a certain time and the overall evaluation values and sequencing results of the evaluation objects at a period of time. In practice, a dynamic evaluation is conducted on the independent innovation capabilities of the provinces in east China. Such an evaluation, as an instance, shows that the findings of this work are practically effective. The method proposed in this study provides an idea in dealing with dynamic evaluation, helpfully complements the comprehensive evaluation method, and facilitates the researches in related fields.
改进理想解法 / 动态评价方法 / 三维数据. {{custom_keyword}} /
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