To evaluate the reliability and overall resilience of the Yangtze River and Yellow River inter-basin water network, a generalized node diagram of the inter-basin multi-route water network was established. Based on the complex network theory, a comprehensive assessment of node importance in the inter-basin multi-route water network was conducted by taking the advantages of D-S evidence theory in fusing multi-source information and integrating the indexes of the degree centrality, betweenness centrality, and PageRank value. Additionally, a resilience evaluation model for the inter-basin multi-route water network was constructed based on network efficiency and the largest connected subgraph, and the resilience of the Yangtze River and Yellow River inter-basin water network was evaluated. The results indicate that as the number of “failed” nodes increases, phenomena such as clustering of isolated nodes and decreased connectivity occur. Specifically, when the failure rate of nodes reaches 6.5%, the network’s resilience drops to 0.6, and when this rate increases to 10.9%, the resilience obtained by the degree centrality algorithm falls below 0.4. Notably, maintaining the normal operation of the top 47.8% most important nodes can elevate the network’s resilience to 0.83. Keywords: complex network theory; D-S evidence theory; water network resilience; inter-basin water network; the Yangtze River; the Yellow River 〖FL