关键词: 同行评议, 专家互判, Weber点, 模拟植物生长算法

Abstract: According to the principle of multiple attribute group decision making, the paper proposes a method, that is reciprocal judgment by peer experts to improve the consensus of peer review of academic papers in the article. On the basis of a separate review by each peer review expert, the editorial department will feed back each expert’s comments and results to other peer review experts and conduct mutual judgment. By this way, group consensus degree of each peer expert (accordingly, expert weights can be calculated) is gained. In this paper, the judgment preferences of peer experts are expressed in the form of interval number and mapped into two-dimensional coordinate plane. By introducing the Weber point, the judgment preferences of peer experts are aggregated. In this paper, the Plant Growth Simulation Algorithm(PGSA)is used to obtain the aggregation point. And the aggregation point is used as the basis for evaluation. Finally, this paper illustrates the effectiveness and feasibility of the method by giving an example of academic paper review and comparing with other method.

Key words: peer review, expert mutual judgment, Weber point, PGSA