DETERMINATION OF THE INFORMATIVENESS OF INPUT PRINTS USING THE MULTI-CRITERIA DISPERSOIN METOD

Abstract

In this article, the initial data of the selected input parameters were processed using 7 local criteria, and scientific
research was conducted on the problem of determining the informativeness of the output parameters as a result of voting
and ordering the level of informativeness in relation to the studied object (informativeness by color). In order to increase
the level of accuracy, it has been established that the multi-criteria dispersion method can be used in the formation of a
set of informative parameters of input data. As a result, it is possible to solve the problem of forming a set of informative
parameters and assessing the adequacy of the model. In this case, we used existing local criteria, and each criterion
determines the order of informativeness for each of its parameters based on its own conditions. This repetition is carried
out according to 7 criteria, the results of each criterion are summarized to form an informativeness matrix. As a result,
a new multi-criteria dispersion method was created, which clarifies the high adequacy of constructing a mathematical
model.