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The Modified Method of Logical Analysis Used for Solving Classification Problems
Volume 29, Issue 3 (2018), pp. 467–486
Pub. online: 1 January 2018      Type: Research Article      Open accessOpen Access
Received
1 October 2017
Accepted
1 June 2018
Published
1 January 2018

Abstract

The study is dictated by the need to interpret and justify the solutions of classification problems. In this context, a method of logical analysis of data is considered along with its modifications based on the specifically developed algorithmic procedures, the use of which can increase the interpretability and generalization capability of classifiers. The article confirms in an empirical way that the suggested optimization models are suitable for building informative patterns and that the designed algorithmic procedures are efficient when used for the method of logical analysis of data.

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Biographies

Kuzmich Roman
romazmich@gmail.com

R. Kuzmich is a candidate of technical sciences, an associate professor of Siberian Federal University (Krasnoyarsk, Russia). His research interests are optimization techniques, modelling, control systems.

Stupina Alena
h677hm@gmail.com

A. Stupina is a doctor of technical sciences, a professor of Siberian Federal University (Krasnoyarsk, Russia). Her research interests are n-version programming, modelling, control systems.

Korpacheva Larisa
korp_0777@mail.ru

L. Korpacheva is a candidate of technical sciences, an associate professor of Siberian Federal University (Krasnoyarsk, Russia). Her research interests are modelling, system analysis.

Ezhemanskaja Svetlana
sve-ta_ezh@inbox.ru

S. Ezhemanskaja is a candidate of technical sciences, an associate professor of Siberian Federal University (Krasnoyarsk, Russia). Her research interests are modelling, system analysis.

Rouiga Irina
irina_rouiga@bk.ru

I. Rouiga is a candidate of economical sciences, an associate professor of Siberian Federal University (Krasnoyarsk, Russia). Her research interests are economic-mathematical modelling, investment and innovation policy at the regional level.


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