Construction of an Evaluation Index System for Customs Knowledge Management Using the Analytical Hierarchy Process Method

In the epoch of artificial intelligence, building a knowledge-based Customs is a key measure to improve regulatory efficiency, ensure trade security and promote economic development. Here, the Analytical Hierarchy Process (AHP) method was employed to develop a systematic and scientific evaluation index for knowledge management systems within Customs, thereby providing a theoretical foundation for enhancing knowledge management efficiency and the level of intelligent decision-making within Customs. The paper reviews the theoretical underpinnings and practical status of knowledge management, elucidating the significance of establishing evaluation indicators for knowledge systems. The study utilised the AHP method to define first- and second-level indicators, along with their associated weights, for the evaluation of customs knowledge management. Based on the customs knowledge management indicator system established, the paper offers optimisation recommendations and valuable insights, which hold considerable theoretical importance for guiding Customs in the optimisation of knowledge resource allocation and the enhancement of smart customs supervision services.