Abstract

This article presents the results which purpose of cases of distortion and manual adjustment of objective ratings based on individual indicators. The aim of the study was to build an algorithm for determining unfairly placed places in the ranking as a result of fraud, by identifying the weight coefficients of private ratings of universities in the form of a known functional dependence of the overall rating in the form of an additive convolution. The analysis of techniques of creation of one of popular Russian ratings was for this purpose carried out, mathematical models of dependence of the general rating of higher education institution on its private ratings are received. Researches showed existence of subjectivity in creation of rating which are shown in the form of nonrandom “emissions”. Standard methods do not allow to reveal them and to construct an objective picture. Therefore the offered algorithm allows to find, first, “emissions”, secondly, to exclude them from selection and, thirdly, to define weight coefficients which will be closer to aprioristic values on the remained set. The model of construction of an objective rating obtained as a result of the algorithm can be used to determine the unjustly obtained places by the participants of the competition. Educational organizations are interested in taking good positions in the leading ratings therefore the understanding of rules of formation of ratings and knowledge of numerical values of the corresponding weight coefficients will allow the management, from the practical point of view, to be realistic about positions of the higher education institution and to beforehand take measures to strengthen them in advance.