临近空间成像资源配置专家决策系统研究

摘要

In view of the multi-objective combination optimization characteristic of the near space imaging resources deployment, to reduce the difficulty of solving the problem and to quickly obtain reasonable and practicable resources deployment project, expert decision system combined decision-making support model is studied, the expert knowledge database, the decision-making function and rules management module. Based on expert knowledge and support of the decision-making model, multistage reasoning mechanisms is utilized, including the restriction filtration, the conflict filtration and comprehensive evaluation decision-making, quickly obtained resources deployment project. The actual operation of the system proves that this system solve the near space resources deployment question better.%针对临近空间成像资源配置的多目标组合优化特性,为了降低该问题的求解难度,迅速求解合理可行的临近空间成像资源配置方案,研究了融合决策支持模型的专家决策系统,建立了专家知识库、决策推理机以及规则管理模块,基于专家知识、决策支持模型,运用多级推理机制,其多级推理机制主要包括约束过滤、冲突过滤与综合评价决策,求解临近空间资源配置方案,实际运行结果表明,该系统能较好地解决临近空间资源配置问题.