[目的/意义]目前，学术期刊综合评价研究大多都是静态的，且忽视了对学术期刊的动态发展进行激励。基于此，提出一种新的基于双激励模型的学术期刊动态综合评价方法。[方法/过程]首先，利用幂Heronian平均算子对学术期刊进行静态综合评价，并计算各年学术期刊综合评价结果；其次，引入双激励模型，并计算激励后的各年学术期刊综合评价结果；最后，利用具有时效性特征的最大熵模型计算时间权重，在此基础上基于改进的TOPSIS法计算学术期刊动态综合评价结果。[结果/结论]选取34种中文图书情报类期刊为样本，结果表明，该方法不仅能够得到较为科学合理的学术期刊排名，还能够引导和促进学术期刊的可持续健康发展。

[Purpose/significance]Aiming at the problem that most of academic journal comprehensive evaluation models are static and have not consider the incentive of academic journal, this paper proposes a new dynamic comprehensive evaluation method of academic journal based on double incentives. [Method/process]Firstly, the power Heronian mean operator is used to evaluate the static information of academic journal, which is obtain every year’s static comprehensive evaluation result of academic journal. Then, the double incentives model is introduced to get every year’s static comprehensive evaluation result of academic journal with incentive. Finally, the time weight of timeliness is determined by the maximum-entropy model, on this basis, the dynamic comprehensive evaluation result is obtained by improved TOPSIS. [Results/conclusion]Taking 34 Chinese journals of library and information science as the object, the
empirical results show that this method not only can get a reasonable evaluation value of academic journal, but also can guide academic journal have a sustainable development.