The problem of the substantiation of the optimal composition of indicators intended for assessing existing and predicting new scientific achievements is considered. The types of indicators that are commonly used in the management of scientific achievements are systematized. A differentiated approach to the selection of such indicators is proposed, depending on the sections of knowledge to which they relate. In addition to the scientometric parameters of knowledge sections, the factors that influence the formation of sets of indicators are listed. The development of a quantitative model of the ratio of types of indicators in their sets based on measures of sets and binary relations of order over numbers is presented. Within the framework of this model, an explanation is given for the prevalence of expert indicators. The decision on the composition of the indicator sets is made based on heuristic rules. An example of finding the optimal ratio of the types of indicators for predicting achievements in the natural sciences and assessing the results achieved in the humanities is given.

考虑了用于评估现有科学成就和预测新科学成就的指标的最佳组合的证实问题。对科学成果管理中常用的指标类型进行了系统化。建议采用不同的方法来选择此类指标，这取决于它们所涉及的知识部分。除了知识部分的科学计量参数外，还列出了影响指标集形成的因素。提出了基于集合的度量和顺序与数字的二元关系的集合中指标类型比率的定量模型的开发。在该模型的框架内，对专家指标的普遍性给出了解释。指标集的组成决定是基于启发式规则做出的。给出了寻找预测自然科学成就和评估人文科学成果的指标类型的最佳比例的例子。