Resilience Evaluation of the Forest Products Platform Supply Chain Based on Artificial Intelligence and Extension Theory DOI Open Access
Lin Lu, Ping Long, Xiaochun Luo

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(12), P. 2180 - 2180

Published: Dec. 11, 2024

Forestry has a profound impact on environmental protection, economic development, and social welfare. With the improvement of global protection awareness, construction platform supply chain forest products become core driving force to promote sustainable development forestry. Studying resilience is great importance solve contradiction between natural ecosystem protection. However, existing evaluation methods are not suitable for dynamic complex performance current chain. Therefore, in order make up this shortcoming, paper evaluates analyzes based AI recommendation extension theory. Firstly, combined characteristics used technology build index system. Secondly, AHP method was calculate weight, model constructed. Finally, ensure authenticity credibility results, three practical cases were analyzed illustrate level products, effectiveness application theory chains verified. The scientific value that it provides new idea makes theoretical contributions fruitful field. In addition, study also guideline protecting environment realizing

Language: Английский

Resilience Evaluation of the Forest Products Platform Supply Chain Based on Artificial Intelligence and Extension Theory DOI Open Access
Lin Lu, Ping Long, Xiaochun Luo

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(12), P. 2180 - 2180

Published: Dec. 11, 2024

Forestry has a profound impact on environmental protection, economic development, and social welfare. With the improvement of global protection awareness, construction platform supply chain forest products become core driving force to promote sustainable development forestry. Studying resilience is great importance solve contradiction between natural ecosystem protection. However, existing evaluation methods are not suitable for dynamic complex performance current chain. Therefore, in order make up this shortcoming, paper evaluates analyzes based AI recommendation extension theory. Firstly, combined characteristics used technology build index system. Secondly, AHP method was calculate weight, model constructed. Finally, ensure authenticity credibility results, three practical cases were analyzed illustrate level products, effectiveness application theory chains verified. The scientific value that it provides new idea makes theoretical contributions fruitful field. In addition, study also guideline protecting environment realizing

Language: Английский

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