Extraction informative features for making decision
Н. А. ИгнатьевNational, University of Uzbekistan, Tashkent, UzbekistanMukhamadiev Abdivali ShukurovichTashkent University of Information Technologies named by Muhammad Al- Khwarizmi, Tashkent, UzbekistanMukhammadiev Ravshan Abduvali ogliNational University of Uzbekistan, Tashkent, UzbekistanSaida Safibullaevna BeknazarovaAudiovisual technologies of Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
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The article dedicated to extracting informative features with using similarity matrix. For extraction informative features, we search for hidden regularities from sociology database. In this way we need consider n-p full task and it will be <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2^{n}$</tex> combinations. To solve this task, we use heuristic way. Extraction informative features reduces size of space (features) and help us make decision quickly. In the article we use invariant methods which extract informative questions of survey. Our survey were taken from korean, uzbek peoples and we obtained a result from this dataset.
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