Cluster Analysis as an Assessment Tool of the Impact of the COVID-19 Pandemic on the Development of Tourism in the Regions of Ukraine

被引：0
|
作者：
Kulyniak, Ihor [1 ]
Novakivskyi, Ihor [1 ]
Karyy, Oleh [1 ]
Halkiv, Liubov [1 ]
Ohinok, Solomiya [1 ]
机构：
[1] Lviv Polytech Natl Univ, Dept Management Org, Lvov, Ukraine
来源：
2022 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT) | 2022年
关键词：
tourism; cluster analysis; COVID-19; pandemic; weighting factors; penalty function; growth rate;
D O I：
10.1109/CSIT56902.2022.10000534
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The regions of Ukraine with similar values of indicators characterizing the development of tourism in 2020 under the impact of the COVID-19 pandemic are grouped using cluster analysis. It is proposed to modify cluster analysis by taking into account clarifying weighting factors and correcting penalty functions. The five clusters of the regions of Ukraine are singled out and the peculiarities of tourism development within each cluster are characterized.
引用
收藏
页码：305 / 308
页数：4
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