| 引用本文: | 王勋,张杰勇,万路军,等.Holonic-C2组织决策分配及演化方法.[J].国防科技大学学报,2020,42(6):157-166.[点击复制] |
| WANG Xun,ZHANG Jieyong,WAN Lujun,et al.Holonic-C2 organization decision allocation and evolution method[J].Journal of National University of Defense Technology,2020,42(6):157-166[点击复制] |
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| Holonic-C2组织决策分配及演化方法 |
| 王勋1,2,张杰勇2,万路军3,焦志强2 |
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(1. 国防科技大学 信息通信学院, 陕西 西安 710106;2. 空军工程大学 信息与导航学院, 陕西 西安 710077;3. 空军工程大学 空管领航学院, 陕西 西安 710051)
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| 摘要: |
| 为了有效发挥指挥控制(Command and Control, C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一致性相结合的专家组选择方法,提高了决策分配过程中多属性决策的客观合理性；针对决策分配的动态演化问题,提出基于多阶段决策的决策模式演化机制,在考虑属性前后阶段的变化的基础上,给出相邻阶段决策模式跃迁方法。仿真结果表明,所提方法能够给出相对客观的决策模式的优劣排序以及多阶段的演化路线,从而证明了方法的可行性和有效性。 |
| 关键词: 决策分配 指挥控制组织 多属性决策 一致性检验 决策模式演化 Holonic |
| DOI：10.11887/j.cn.202006020 |
| 投稿日期：2019-06-01 |
| 基金项目:国家自然科学基金资助项目(61573017,61703425)；航空基金资助项目(20175796014) |
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| Holonic-C2 organization decision allocation and evolution method |
| WANG Xun1,2, ZHANG Jieyong2, WAN Lujun3, JIAO Zhiqiang2 |
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(1. College of Information and Communication, National University of Defense Technology, Xi′an 710106, China;2. Information and Navigation College, Air Force Engineering University, Xi′an 710077, China;3. Air Traffic Control and Navigation College, Air Force Engineering University, Xi′an 710051, China)
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| Abstract: |
| In order to effectively play the decision-making advantage of C2(command and control) organization′s centralized decision-making and collaborative decision-making, the decision-making assignment problem of Holonic-C2 organization with dynamic ability of decision-making authority was studied. In view of the shortcomings of the subjectiveness of expert fixed weights in group decision making, an expert group selection method based on the combination of expert authority and opinion consistency was proposed. This method improves the objective rationality of multi-attribute decision making. In view of the dynamic evolution of decision allocation, a decision-making evolution mechanism based on multi-stage decision making was proposed. The change of attributes in the front and back stages was considered in this method, and the decision mode transition mode in the adjacent stage was given. The simulation results show that the proposed method can give the ranking of the relatively objective decision-making modes and the multi-stage evolutionary route, which proves the feasibility and effectiveness of the method. |
| Keywords: decision allocation command and control organization multiple attribute decision consistency test decision model evolution Holonic |
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