Application of Fuzzy Clustering Algorithm in Predictive Control of Resource Optimal Allocation

In order to solve the low utilization efficiency of aviation logistics resources, the problem of not giving full play to air transport capacity, the author proposes an algorithm for optimal allocation of aviation logistics resources based on fuzzy clustering. This algorithm classifies the aviation logistics task requirements through the fuzzy clustering PCM algorithm to improve the retrieval efficiency of logistics resource services. Match the logistics task demand with the logistics resources in the logistics service platform through feature matching, then we can get the resources and services that best meet the needs of logistics tasks, and realize the optimal allocation of aviation logistics resources. The experimental results show that: The algorithm can optimize the allocation of aviation logistics resources with high efficiency (single object processing takes 24.68 ms) and 95.27% accuracy. Conclusion: The experimental results fully verify the effectiveness and feasibility of the proposed algorithm.