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Issue title: Special section: Artificial Intelligence driven Big Data Analytics for COVID-19
Guest editors: Xiaolong Li
Article type: Research Article
Authors: Wang, Zhenpeng; *
Affiliations: KaiFeng University, Kaifeng DongJing Avenue, Henan, China
Correspondence: [*] Corresponding author. Zhenpeng Wang, KaiFeng University, Kaifeng Dong Jing Avenue, Henan, 475004 China. E-mail: 1400406983@qq.com.
Abstract: In the era of big data transformation, with the emergence of COVID-19, tourism has been given more social responsibilities. Tourism construction in the Yellow River Basin is an indispensable part of tourism construction in China. This paper analyzes the existing eco-tourism resources in Kaifeng City and Shandong Province, as well as the necessity and construction conditions of developing tourism. In this paper, principal component analysis is used to analyze the resource conditions, regional conditions and environmental conditions of the Yellow River tourism resources. The comprehensive evaluation model and index system of tourism resources are constructed. Big data transformation has been realized. The purpose of this paper is to clarify the current situation and potential of tourism in the Yellow River Basin, and to provide reference for the development of tourism in the Yellow River Basin during COVID-19.
Keywords: PCA, tourist resources, yellow river basin, comprehensive evaluation
DOI: 10.3233/JIFS-189288
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8907-8915, 2020
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