构建学术期刊多属性评价方法的分类体系,从理论上论证绝大多数非线性评价方法和大多数线性评价方法的不可比问题,并以TOPSIS法为例,用农业期刊评价的具体数据进行验证。认为学术期刊评价方法的不可比问题必须引起足够的重视,评价目的与评价方法的选择密切相关,并且与评价方法的可比性相关,期刊评价机构应该尽量公布评价数据、评价方法与评价结果,只有纯主观评价法才具有广泛的可比性。
This paper first constructs a classification framework for multi-attribute evaluation methods oriented to academic journals,and then theoretically discusses the comparability of the vast majority of non-linear evaluation methods and the majority of linear evaluation methods,taking the TOPSIS method as example and the evaluation data on agricultural journals as an exercise of validation.Analysis result shows that we should attach enough importance to the comparability of evaluation methods for academic journals;the evaluation objectives are closely related to the choice of evaluation methods,and also relevant to the comparability of evaluation methods;the specialized organizations for journal evaluation had better release the evaluation data,evaluation methods and evaluation results to the best of their abilities;only purely subjective evaluation method is of broad comparability.