针对现行科研项目立项评估方法中存在的不足,提出多维框架证据推理的科研项目立项评估方法。根据多个识别框架之间的逻辑关系,给出平行框架、递进框架和混合框架的概念;将同行评议表中的"熟悉程度"和"综合评价等级"、"熟悉程度"和"资助意见"视为两个平行的递进框架,分别将两个递进框架评价信息转化为证据体,用评价等级(资助意见)和信度表示专家的评审意见,从而即能方便描述专家评价中的不完全信息,又能充分整合评审中有价值的信息;利用"熟悉程度"对专家进行赋权,利用证据推理算子将专家评估信息分别在两个平行框架上集结,并将不同项目进行量化排序择优;最后结合实例来检验该方法的有效性。

To overcome the disadvantages of existing evaluation methods for scientific research project selection, a new evaluation approach based on the evidential reasoning algorithm under multi-dimensional frames of discernment is proposed. According to the logical relationship, the frames of discernment are distinguished to the parallel frame, progressive frame, and mixed frame. The comprehensive evaluation grade with the degree of familiarity and the funding advice plus the degree of familiarity in the peer review form are regarded as two parallel progressive frames and are transformed into pieces of evidence, where the peer reviews could be expressed by evaluation grades (funding advice) with belief. In this way, the incomplete information of peer reviews is able to be easily described and the valuable information of assessment could be fully integrated. Then the expert weights are given by the degree of familiarity and the peer reviews are integrated on two parallel frames, respectively by using the evidential reasoning operator. And then the evaluations of scientific research projects are quantified and selected. Finally, an example is given to check the validation of the approach.