The article discusses the mathematical modeling of the problem of multi-criteria
selection of control measures for the ongoing monitoring of performance using two methods: a
method of fuzzy analysis of hierarchies and a method based on measuring latent variables (the
Rush method). Both methods are expert methods. The advantage of using a fuzzy hierarchy
analysis method is to describe the relative attribute values using fuzzy numbers instead of exact
ones. Due to this, the expert gets the opportunity not only to assess the degree of preference of
one object over another, but also to express his doubts, experience, intuition in this assessment.
The main disadvantage of this approach is the complexity and complexity of the calculations.
The advantages of the Rush method are in the simplicity of calculations, in the transition from
the subjective assessments of experts to the objective ones, which possess the property of
linearity. Within the framework of the constructed hierarchical model aimed at increasing the
efficiency of the learning process, weights of different types of control measures are determined
by these methods. In the future, the weights obtained can be used as parameters in the models
for the formation of a set of control measures based on minimizing the difficulty of their
implementation and maximizing their usefulness.
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Krasova Natalia Evgenievna
Candidate of Physical and Mathematical Sciences, Associate Professor
Email: krasovanata@mail.ru
Zhukovsky-Gagarin Air Force Academy
Voronezh, Russian Federation
Aleinikova Natalia Aleksandrovna
Candidate of Economic Sciences, Associate Professor
Email: balbashovan@mail.ru
Zhukovsky-Gagarin Air Force Academy
Voronezh, Russian Federation
