The relevance of the subject area under consideration is due to the need to effectively solve discrete optimization problems that arise in the process of analyzing high-dimensional communication networks. Namely, the article examines decision-making procedures in the presence of several predictor functions, i.e. special very quickly executing auxiliary functions that a priori evaluate the effectiveness of choosing a separating element for some iterative algorithm. Cases of one, two or three predictors are considered, as well as various schemes of so-called voting, that is, choosing one predictor from those proposed with an assessment of the probability of making the right decision. The qualitative result of the research is presented with the development of recommendations for the use of predictors. This approach can be extended to situations not directly related to discrete optimization algorithms. In particular, the results obtained can be used in organizing the obtaining of an expert opinion in the presence of one, two or three experts who, in general, have different qualifications, and possible schemes for their decision-making.