针对装甲机械化部队作战基本流程，分析了部队装备保障基本任务，给出了任务剖面图。根据任务决定能力需求的原则，进行了装备保障任务到系统能力的需求分析，并对系统能力进行功能能力和使用能力分解，建立了任务-能力需求转换的QFD（Q...针对装甲机械化部队作战基本流程，分析了部队装备保障基本任务，给出了任务剖面图。根据任务决定能力需求的原则，进行了装备保障任务到系统能力的需求分析，并对系统能力进行功能能力和使用能力分解，建立了任务-能力需求转换的QFD（Quality Function Deployment）质量屋结构图。利用QFD的BP神经网络对装备保障任务-能力重要程度进行分析，得出了系统能力的需求权重，给出了关键能力指标，为基于能力的装备保障系统建设提供参考。展开更多
This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision proce...This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision process of enterprise equipment bidding, more intelligent. The system discussed in this paper is an efficient method for the enterprises doing business electronically. We also present our opinion of the approaches to defining agents. We emphasize the importance of agent being able to provide explanation about its behavior for the user or other agents. Based on this opinion we design a new common architecture of most agents in MAEBSW.展开更多
文摘针对装甲机械化部队作战基本流程，分析了部队装备保障基本任务，给出了任务剖面图。根据任务决定能力需求的原则，进行了装备保障任务到系统能力的需求分析，并对系统能力进行功能能力和使用能力分解，建立了任务-能力需求转换的QFD（Quality Function Deployment）质量屋结构图。利用QFD的BP神经网络对装备保障任务-能力重要程度进行分析，得出了系统能力的需求权重，给出了关键能力指标，为基于能力的装备保障系统建设提供参考。
文摘This paper puts forward a new framework of multi-agent based equipment bidding system on the Web (MAEBSW). The purpose of the paper is to make the process of enterprise equipment bidding, especially the decision process of enterprise equipment bidding, more intelligent. The system discussed in this paper is an efficient method for the enterprises doing business electronically. We also present our opinion of the approaches to defining agents. We emphasize the importance of agent being able to provide explanation about its behavior for the user or other agents. Based on this opinion we design a new common architecture of most agents in MAEBSW.
