行动方式框架(Mission and Means Framework,MMF)是美军基于能力进行战场物资分配和任务生成的辅助决策技术框架。提出了基于MMF的作战方案语义推理评估方法,用以对作战方案任务完整性进行评估并能在完整性有缺失的情况下找出该缺失项,...行动方式框架(Mission and Means Framework,MMF)是美军基于能力进行战场物资分配和任务生成的辅助决策技术框架。提出了基于MMF的作战方案语义推理评估方法,用以对作战方案任务完整性进行评估并能在完整性有缺失的情况下找出该缺失项,为指挥官提供决策意见。使用OWL语言对评估方法进行本体建模,采用SWRL语言构建能力生成的语义规则,并以某轰炸机场方案为例验证了方法的有效性,上述方法对使用语义推理进行作战方案评估具有参考价值。展开更多
Resource allocation is crucial for satellite networks. In this paper, we propose a multi-resource fair allocation scheme, namely Dominant and Max-min Fair(DMMF), to efficiently and fairly allocate resources. It consis...Resource allocation is crucial for satellite networks. In this paper, we propose a multi-resource fair allocation scheme, namely Dominant and Max-min Fair(DMMF), to efficiently and fairly allocate resources. It consists of two allocation stages, dominant resource fair(DRF) allocation stage and max-min fairness(MMF) allocation stage. The proposed DMMF scheme exhibits desirable properties, including share incentive, strategy proofness, envy freeness and Pareto optimality. Meanwhile, DMMF can improve the allocation efficiency and reach 100% allocation efficiency.展开更多
文摘行动方式框架(Mission and Means Framework,MMF)是美军基于能力进行战场物资分配和任务生成的辅助决策技术框架。提出了基于MMF的作战方案语义推理评估方法,用以对作战方案任务完整性进行评估并能在完整性有缺失的情况下找出该缺失项,为指挥官提供决策意见。使用OWL语言对评估方法进行本体建模,采用SWRL语言构建能力生成的语义规则,并以某轰炸机场方案为例验证了方法的有效性,上述方法对使用语义推理进行作战方案评估具有参考价值。
基金supported by the National High-Tech R&D Program (863 Program) No. 2015AA01A705the National Natural Science Foundation of China under Grant No. 61572072+1 种基金the National Science and Technology Major Project No. 2015ZX03001041Fundamental Research Funds for the Central Universities "Research on the System of Personalized Education using Big Data"
文摘Resource allocation is crucial for satellite networks. In this paper, we propose a multi-resource fair allocation scheme, namely Dominant and Max-min Fair(DMMF), to efficiently and fairly allocate resources. It consists of two allocation stages, dominant resource fair(DRF) allocation stage and max-min fairness(MMF) allocation stage. The proposed DMMF scheme exhibits desirable properties, including share incentive, strategy proofness, envy freeness and Pareto optimality. Meanwhile, DMMF can improve the allocation efficiency and reach 100% allocation efficiency.
