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Selection of Optimal Methods in Decision Making to Properly Assess the Situation

Ziyoda PulatovaInformation Technologies department, Tashkent University of Information Technologies named after Muhammad al-Kwarizmi, Tashkent, UzbekistanJonibek UsmonovInformation Technologies department, Tashkent University of Information Technologies named after Muhammad al-Kwarizmi, Tashkent, Uzbekistan
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Abstract

The article is devoted to a review of the methods for assessing the state of a system operating in both quantitative and variable environments. It is explained that these methods can be used in non-quantitative and quantitative data processing systems. It is said that one of the statistical methods of filtering the system status assessment problem can be solved through the Kalman filter. And conversely, the idea of creating a linguistic model for non-quantitative data is given. The article also discusses pattern detection technology, another system condition assessment method. Advantages using the pattern detection method were considered. In conclusion, ideas on which of these methods would be most effective are given.

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