Name
Brujako Angelica Andreevna
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
Kuban State Agrarian University
Web site url
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Articles count: 1
Creation of artificial intelligence systems is one of
important and perspective directions of development
of modern information technology. As there are
many alternatives to artificial intelligence systems,
there is a need to evaluate mathematical models of
these systems. In this work, we present a solution of
the problem of identifying classes of salary levels of
employees depending on their characteristics. To
achieve this goal it requires free access to test the
source data and methodology, which will help to
convert the data into the form needed for work in
artificial intelligence systems. A good choice is a
database of test problems for systems of artificial
intelligence of UCI repository. In this work we used
the database called "Wine Data Set" from the Bank's
original task of artificial intelligence from repository
UCI. The most reliable in this application was the
model of the INF4 based on semantic, according to
A. Kharkevich, integral criteria of "Amount of
knowledge". The accuracy of the model is 0,916,
which is much higher than the reliability of expert
evaluations, which is equal to about 70%. To assess
the reliability of the models in the ASC-analysis and
the system of "Eidos" we used the F-criterion of van
Ritbergen and fuzzy multiCLASS generalization
proposed by Professor E. V. Lutsenko (L-measure)