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针对跨学科难以比较的问题,提出综合比较、结合数据分布、横向比较3个原则,并且以TOPSIS法为例,在对其进行优化的基础上,提出采用多属性评价结果的标准分进行跨学科比较的思想。以JCR 2012中的数学、物理学、生物学期刊为例进行实证分析,研究结果表明:基于标准分进行跨学科个体评价是可行的,甚至可以应用于不同评价指标与不同评价方法的横向比较;进行跨学科评价的样本数量不宜过少;不同学科的总体水平难以比较。
In view of the problems that are difficult to be compared across disciplines, this paper puts forward the three principles of comprehensive comparison, combining data distribution and horizontal comparison. Taking TOPSIS as an example, this paper proposes a multidisciplinary evaluation model based on multi-attribute evaluation results Comparison of ideas. An empirical study was conducted using mathematical, physical and biological journals in JCR 2012 as an example. The results show that it is feasible to conduct interdisciplinary individual evaluation based on standard scores and can even be applied to horizontal comparison of different evaluation indexes and different evaluation methods. The number of samples for interdisciplinary evaluation should not be too small; the overall level of different disciplines is difficult to compare.