Title: Evaluation method of tourism environmental capacity in nature reserves based on data mining

Authors: Juan Xie

Addresses: Hunan Vocational Institute of Technology, Hu'nan, 411104, China

Abstract: A new data mining based method for evaluating tourism environmental capacity in nature reserves is studied in this paper. Firstly, the evaluation index system is constructed according to the tourism environmental capacity dimension of nature reserves. Then, the index data of the evaluation index system is processed by extreme value normalisation to complete the pre-processing. Secondly, a data mining algorithm is introduced to optimise the data mining algorithm through weights and load items based on the processed index data, and an evaluation method is constructed to obtain the evaluation score. Finally, the weighted rank sum ratio is introduced, the rank sum ratio is calculated, and the weighted rank sum ratio is obtained by combining the weights. The evaluation method of data mining is optimised by this algorithm, and the tourism environmental capacity evaluation of nature reserves is realised. The experimental results show that the evaluation accuracy of this method is the highest at 97.8%, the evaluation confidence should be the highest at 0.99, and the PR curve is closest to the upper right corner, the results show that the method can improve the evaluation accuracy effectively.

Keywords: data mining; nature reserves; tourism environment; capacity assessment; normalisation of extreme values; weighted rank sum ratio.

DOI: 10.1504/IJSD.2025.145807

International Journal of Sustainable Development, 2025 Vol.28 No.2/3, pp.214 - 234

Received: 19 Jun 2023
Accepted: 23 Oct 2023
Published online: 25 Apr 2025 *

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