Article: Multilevel grey method for evaluating the exploitation potential of tourism resources based on machine learning Journal: International Journal of Data Science (IJDS) 2025 Vol.10 No.7 pp.39 - 52 Abstract: This study proposes a multilevel grey evaluation method integrated with machine learning to assess tourism resource (TR) development potential. Addressing challenges like poor management, resource scarcity, and unsustainable practices, the approach optimises resource allocation through an evaluation system analysing variation and grey weight vectors. Results show steady increases in evaluation weights over time, with average variation weight at 1.87 (total increase: 1.80) and grey weight at 0.50 (increase: 0.21). Compared to traditional systems, the optimised model improved service quality (9.92%), management level (10.25%), and government support (9.07%). This method enhances resource utilisation efficiency and promotes sustainable tourism development by identifying optimal strategies for TR exploitation. Inderscience Publishers - linking academia, business and industry through research

Title: Multilevel grey method for evaluating the exploitation potential of tourism resources based on machine learning

Authors: Lanlan Li

Addresses: Department of Tourism and Hotel Management, Pingdingshan Vocational and Technical College, Pingdingshan, 467000, Henan, China

Abstract: This study proposes a multilevel grey evaluation method integrated with machine learning to assess tourism resource (TR) development potential. Addressing challenges like poor management, resource scarcity, and unsustainable practices, the approach optimises resource allocation through an evaluation system analysing variation and grey weight vectors. Results show steady increases in evaluation weights over time, with average variation weight at 1.87 (total increase: 1.80) and grey weight at 0.50 (increase: 0.21). Compared to traditional systems, the optimised model improved service quality (9.92%), management level (10.25%), and government support (9.07%). This method enhances resource utilisation efficiency and promotes sustainable tourism development by identifying optimal strategies for TR exploitation.

Keywords: tourism resources; development potential; management level; government support; evaluation method; multilevel grey evaluation; machine learning; resource allocation; sustainable development.

DOI: 10.1504/IJDS.2025.151179

International Journal of Data Science, 2025 Vol.10 No.7, pp.39 - 52

Received: 06 Feb 2025
Accepted: 25 Apr 2025
Published online: 16 Jan 2026 *

Title: Multilevel grey method for evaluating the exploitation potential of tourism resources based on machine learning

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