CAJ | 학술논문

以战时维修保障资源难以预测为背景，面向战时维修保障任务，建立了基于变精度粗糙集的战时装备维修保障资源优化配置模型，实现了不同精度下的多资源点、多需求点的资源优化配置。证明了战时维修保障资源所需时间的取值范围，以此推导出模型中所需时间与成本的取值范围。利用粒子群算法对该模型进行求解，得到最优目标函数值，从而验证出此模型与算法的有效性。
이전시유수보장자원난이예측위배경，면향전시유수보장임무，건립료기우변정도조조집적전시장비유수보장자원우화배치모형，실현료불동정도하적다자원점、다수구점적자원우화배치。증명료전시유수보장자원소수시간적취치범위，이차추도출모형중소수시간여성본적취치범위。이용입자군산법대해모형진행구해，득도최우목표함수치，종이험증출차모형여산법적유효성。
With equipment maintenance support resources in wartime hard forecast as background,affront equipment maintenance support assignment,a optimal deployment model of equipment maintenance support resources based on variable precision rough set in wartime is established.The resources optimization deployment of multi-places of maintenance and requirement under different precisions is realized. The scope of maintenance support resources optimal deployment in wartime is proved,thus the scopes of maintenance cost and time in the model is designed. The particle swarm optimization algorithm for solving the model is designed. The optimal objective function value is gained,and the result shows the effectiveness of the model and the algorithm proposed.