基于AFSA-RS的废旧航材可回收性判定研究

Study on the Replicability of Old Air Material Based on AFSA-RS

针对当前废旧航材回收处理工作存在的难题，在分析影响废旧航材回收因素的基础上，利用人工鱼群算法对粗糙集理论进行改进，将离散化过程转化为目标寻优问题，通过寻优对离散区间进行有效合并，从而得到较少的离散区间，以解决离散化过程中由于区间分割不当造成的病态问题，最终得到一种科学准确判定废旧航材是否值得回收的方法，提高了航材回收工作的科学性，减少了军费资金投入．

Regarding the problems coming from recycling of old air material, this paper takes advantaged of artificial fish swarm algorithm and rough set theory to research on the replicability of old air material based on the analysis of influence factors. This method can turn the problem of dividing the segmental points into optimize the objective function and combine the discrete intervals effectively. Therefore, it can get lesser discrete intervals and solve the problem caused by inefficient discretization methods. According to the analysis, a scientific method of judging old air material can be got and the scientificalness of recycling old equipment can be increased.